Init source
This commit is contained in:
Davey Mathijssen
+33
@@ -297,3 +297,36 @@ __pycache__/
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|||||||
*.btm.cs
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*.btm.cs
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||||||
*.odx.cs
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*.odx.cs
|
||||||
*.xsd.cs
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*.xsd.cs
|
||||||
|
|
||||||
|
# Prerequisites
|
||||||
|
*.d
|
||||||
|
|
||||||
|
# Compiled Object files
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||||||
|
*.slo
|
||||||
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*.lo
|
||||||
|
*.o
|
||||||
|
*.obj
|
||||||
|
|
||||||
|
# Precompiled Headers
|
||||||
|
*.gch
|
||||||
|
*.pch
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||||||
|
|
||||||
|
# Compiled Dynamic libraries
|
||||||
|
*.so
|
||||||
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*.dylib
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||||||
|
*.dll
|
||||||
|
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||||||
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# Fortran module files
|
||||||
|
*.mod
|
||||||
|
*.smod
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||||||
|
|
||||||
|
# Compiled Static libraries
|
||||||
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*.lai
|
||||||
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*.la
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||||||
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*.a
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||||||
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*.lib
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||||||
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||||||
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# Executables
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||||||
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*.exe
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||||||
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*.out
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||||||
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*.app
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||||||
@@ -0,0 +1,31 @@
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|||||||
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||||||
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Microsoft Visual Studio Solution File, Format Version 12.00
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||||||
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# Visual Studio 15
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||||||
|
VisualStudioVersion = 15.0.26730.12
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||||||
|
MinimumVisualStudioVersion = 10.0.40219.1
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||||||
|
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "AdvancedVision", "AdvancedVision.vcxproj", "{D07114EF-4EC2-45EE-944D-5A269C142C0F}"
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||||||
|
EndProject
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||||||
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Global
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||||||
|
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||||
|
Debug|x64 = Debug|x64
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||||||
|
Debug|x86 = Debug|x86
|
||||||
|
Release|x64 = Release|x64
|
||||||
|
Release|x86 = Release|x86
|
||||||
|
EndGlobalSection
|
||||||
|
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Debug|x64.ActiveCfg = Debug|x64
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Debug|x64.Build.0 = Debug|x64
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Debug|x86.ActiveCfg = Debug|Win32
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Debug|x86.Build.0 = Debug|Win32
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Release|x64.ActiveCfg = Release|x64
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Release|x64.Build.0 = Release|x64
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Release|x86.ActiveCfg = Release|Win32
|
||||||
|
{D07114EF-4EC2-45EE-944D-5A269C142C0F}.Release|x86.Build.0 = Release|Win32
|
||||||
|
EndGlobalSection
|
||||||
|
GlobalSection(SolutionProperties) = preSolution
|
||||||
|
HideSolutionNode = FALSE
|
||||||
|
EndGlobalSection
|
||||||
|
GlobalSection(ExtensibilityGlobals) = postSolution
|
||||||
|
SolutionGuid = {718B94D4-63F0-4DFC-84A7-C7CA7AF5ACA9}
|
||||||
|
EndGlobalSection
|
||||||
|
EndGlobal
|
||||||
@@ -0,0 +1,175 @@
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|||||||
|
<?xml version="1.0" encoding="utf-8"?>
|
||||||
|
<Project DefaultTargets="Build" ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||||
|
<ItemGroup Label="ProjectConfigurations">
|
||||||
|
<ProjectConfiguration Include="Debug|Win32">
|
||||||
|
<Configuration>Debug</Configuration>
|
||||||
|
<Platform>Win32</Platform>
|
||||||
|
</ProjectConfiguration>
|
||||||
|
<ProjectConfiguration Include="Release|Win32">
|
||||||
|
<Configuration>Release</Configuration>
|
||||||
|
<Platform>Win32</Platform>
|
||||||
|
</ProjectConfiguration>
|
||||||
|
<ProjectConfiguration Include="Debug|x64">
|
||||||
|
<Configuration>Debug</Configuration>
|
||||||
|
<Platform>x64</Platform>
|
||||||
|
</ProjectConfiguration>
|
||||||
|
<ProjectConfiguration Include="Release|x64">
|
||||||
|
<Configuration>Release</Configuration>
|
||||||
|
<Platform>x64</Platform>
|
||||||
|
</ProjectConfiguration>
|
||||||
|
</ItemGroup>
|
||||||
|
<PropertyGroup Label="Globals">
|
||||||
|
<VCProjectVersion>15.0</VCProjectVersion>
|
||||||
|
<ProjectGuid>{d07114ef-4ec2-45ee-944d-5a269c142c0f}</ProjectGuid>
|
||||||
|
<Keyword>Win32Proj</Keyword>
|
||||||
|
<RootNamespace>AdvancedVision</RootNamespace>
|
||||||
|
<WindowsTargetPlatformVersion>10.0.15063.0</WindowsTargetPlatformVersion>
|
||||||
|
</PropertyGroup>
|
||||||
|
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
|
||||||
|
<ConfigurationType>Application</ConfigurationType>
|
||||||
|
<UseDebugLibraries>true</UseDebugLibraries>
|
||||||
|
<PlatformToolset>v141</PlatformToolset>
|
||||||
|
<CharacterSet>Unicode</CharacterSet>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
|
||||||
|
<ConfigurationType>Application</ConfigurationType>
|
||||||
|
<UseDebugLibraries>false</UseDebugLibraries>
|
||||||
|
<PlatformToolset>v141</PlatformToolset>
|
||||||
|
<WholeProgramOptimization>true</WholeProgramOptimization>
|
||||||
|
<CharacterSet>Unicode</CharacterSet>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="Configuration">
|
||||||
|
<ConfigurationType>Application</ConfigurationType>
|
||||||
|
<UseDebugLibraries>true</UseDebugLibraries>
|
||||||
|
<PlatformToolset>v141</PlatformToolset>
|
||||||
|
<CharacterSet>Unicode</CharacterSet>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
|
||||||
|
<ConfigurationType>Application</ConfigurationType>
|
||||||
|
<UseDebugLibraries>false</UseDebugLibraries>
|
||||||
|
<PlatformToolset>v141</PlatformToolset>
|
||||||
|
<WholeProgramOptimization>true</WholeProgramOptimization>
|
||||||
|
<CharacterSet>Unicode</CharacterSet>
|
||||||
|
</PropertyGroup>
|
||||||
|
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||||
|
<ImportGroup Label="ExtensionSettings">
|
||||||
|
</ImportGroup>
|
||||||
|
<ImportGroup Label="Shared">
|
||||||
|
</ImportGroup>
|
||||||
|
<ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
|
||||||
|
<Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
|
||||||
|
</ImportGroup>
|
||||||
|
<ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
|
||||||
|
<Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
|
||||||
|
</ImportGroup>
|
||||||
|
<ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
|
||||||
|
<Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
|
||||||
|
</ImportGroup>
|
||||||
|
<ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
|
||||||
|
<Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
|
||||||
|
</ImportGroup>
|
||||||
|
<PropertyGroup Label="UserMacros" />
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
|
||||||
|
<LinkIncremental>true</LinkIncremental>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
|
||||||
|
<LinkIncremental>true</LinkIncremental>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
|
||||||
|
<LinkIncremental>false</LinkIncremental>
|
||||||
|
</PropertyGroup>
|
||||||
|
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
|
||||||
|
<LinkIncremental>false</LinkIncremental>
|
||||||
|
</PropertyGroup>
|
||||||
|
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
|
||||||
|
<ClCompile>
|
||||||
|
<PrecompiledHeader>NotUsing</PrecompiledHeader>
|
||||||
|
<WarningLevel>Level3</WarningLevel>
|
||||||
|
<Optimization>Disabled</Optimization>
|
||||||
|
<PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||||
|
<SDLCheck>true</SDLCheck>
|
||||||
|
<AdditionalIncludeDirectories>C:\opencv\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
|
||||||
|
<AdditionalUsingDirectories>C:\opencv\build\include;%(AdditionalUsingDirectories)</AdditionalUsingDirectories>
|
||||||
|
</ClCompile>
|
||||||
|
<Link>
|
||||||
|
<SubSystem>Console</SubSystem>
|
||||||
|
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||||
|
<AdditionalLibraryDirectories>C:\opencv\build\x64\vc14\lib;%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
|
||||||
|
<AdditionalDependencies>opencv_world330.lib;opencv_world330d.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||||
|
</Link>
|
||||||
|
</ItemDefinitionGroup>
|
||||||
|
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
|
||||||
|
<ClCompile>
|
||||||
|
<PrecompiledHeader>NotUsing</PrecompiledHeader>
|
||||||
|
<WarningLevel>Level3</WarningLevel>
|
||||||
|
<Optimization>Disabled</Optimization>
|
||||||
|
<PreprocessorDefinitions>_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||||
|
<SDLCheck>true</SDLCheck>
|
||||||
|
<AdditionalIncludeDirectories>C:\opencv\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
|
||||||
|
<AdditionalUsingDirectories>C:\opencv\build\include;%(AdditionalUsingDirectories)</AdditionalUsingDirectories>
|
||||||
|
</ClCompile>
|
||||||
|
<Link>
|
||||||
|
<SubSystem>Console</SubSystem>
|
||||||
|
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||||
|
<AdditionalLibraryDirectories>C:\opencv\build\x64\vc14\lib;%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
|
||||||
|
<AdditionalDependencies>opencv_world330.lib;opencv_world330d.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||||
|
</Link>
|
||||||
|
</ItemDefinitionGroup>
|
||||||
|
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
|
||||||
|
<ClCompile>
|
||||||
|
<PrecompiledHeader>NotUsing</PrecompiledHeader>
|
||||||
|
<WarningLevel>Level3</WarningLevel>
|
||||||
|
<Optimization>MaxSpeed</Optimization>
|
||||||
|
<FunctionLevelLinking>true</FunctionLevelLinking>
|
||||||
|
<IntrinsicFunctions>true</IntrinsicFunctions>
|
||||||
|
<PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||||
|
<SDLCheck>true</SDLCheck>
|
||||||
|
<AdditionalIncludeDirectories>C:\opencv\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
|
||||||
|
<AdditionalUsingDirectories>C:\opencv\build\include;%(AdditionalUsingDirectories)</AdditionalUsingDirectories>
|
||||||
|
</ClCompile>
|
||||||
|
<Link>
|
||||||
|
<SubSystem>Console</SubSystem>
|
||||||
|
<EnableCOMDATFolding>true</EnableCOMDATFolding>
|
||||||
|
<OptimizeReferences>true</OptimizeReferences>
|
||||||
|
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||||
|
<AdditionalDependencies>opencv_world330.lib;opencv_world330d.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||||
|
<AdditionalLibraryDirectories>C:\opencv\build\x64\vc14\lib;%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
|
||||||
|
</Link>
|
||||||
|
</ItemDefinitionGroup>
|
||||||
|
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
|
||||||
|
<ClCompile>
|
||||||
|
<PrecompiledHeader>NotUsing</PrecompiledHeader>
|
||||||
|
<WarningLevel>Level3</WarningLevel>
|
||||||
|
<Optimization>MaxSpeed</Optimization>
|
||||||
|
<FunctionLevelLinking>true</FunctionLevelLinking>
|
||||||
|
<IntrinsicFunctions>true</IntrinsicFunctions>
|
||||||
|
<PreprocessorDefinitions>NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||||
|
<SDLCheck>true</SDLCheck>
|
||||||
|
<AdditionalIncludeDirectories>C:\opencv\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
|
||||||
|
<AdditionalUsingDirectories>C:\opencv\build\include;%(AdditionalUsingDirectories)</AdditionalUsingDirectories>
|
||||||
|
</ClCompile>
|
||||||
|
<Link>
|
||||||
|
<SubSystem>Console</SubSystem>
|
||||||
|
<EnableCOMDATFolding>true</EnableCOMDATFolding>
|
||||||
|
<OptimizeReferences>true</OptimizeReferences>
|
||||||
|
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||||
|
<AdditionalDependencies>opencv_world330.lib;opencv_world330d.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||||
|
<AdditionalLibraryDirectories>C:\opencv\build\x64\vc14\lib;%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
|
||||||
|
</Link>
|
||||||
|
</ItemDefinitionGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<Text Include="ReadMe.txt" />
|
||||||
|
</ItemGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<ClCompile Include="allContoursTestprogramma.cpp" />
|
||||||
|
<ClCompile Include="avansvisionlib.cpp" />
|
||||||
|
<ClCompile Include="Source.cpp" />
|
||||||
|
</ItemGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<ClInclude Include="avansvisionlib.h" />
|
||||||
|
</ItemGroup>
|
||||||
|
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||||
|
<ImportGroup Label="ExtensionTargets">
|
||||||
|
</ImportGroup>
|
||||||
|
</Project>
|
||||||
@@ -0,0 +1,36 @@
|
|||||||
|
<?xml version="1.0" encoding="utf-8"?>
|
||||||
|
<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||||
|
<ItemGroup>
|
||||||
|
<Filter Include="Source Files">
|
||||||
|
<UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
|
||||||
|
<Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
|
||||||
|
</Filter>
|
||||||
|
<Filter Include="Header Files">
|
||||||
|
<UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
|
||||||
|
<Extensions>h;hh;hpp;hxx;hm;inl;inc;xsd</Extensions>
|
||||||
|
</Filter>
|
||||||
|
<Filter Include="Resource Files">
|
||||||
|
<UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>
|
||||||
|
<Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
|
||||||
|
</Filter>
|
||||||
|
</ItemGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<Text Include="ReadMe.txt" />
|
||||||
|
</ItemGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<ClCompile Include="Source.cpp">
|
||||||
|
<Filter>Source Files</Filter>
|
||||||
|
</ClCompile>
|
||||||
|
<ClCompile Include="allContoursTestprogramma.cpp">
|
||||||
|
<Filter>Source Files</Filter>
|
||||||
|
</ClCompile>
|
||||||
|
<ClCompile Include="avansvisionlib.cpp">
|
||||||
|
<Filter>Source Files</Filter>
|
||||||
|
</ClCompile>
|
||||||
|
</ItemGroup>
|
||||||
|
<ItemGroup>
|
||||||
|
<ClInclude Include="avansvisionlib.h">
|
||||||
|
<Filter>Header Files</Filter>
|
||||||
|
</ClInclude>
|
||||||
|
</ItemGroup>
|
||||||
|
</Project>
|
||||||
@@ -0,0 +1,37 @@
|
|||||||
|
========================================================================
|
||||||
|
CONSOLE APPLICATION : [!output PROJECT_NAME] Project Overview
|
||||||
|
========================================================================
|
||||||
|
|
||||||
|
AppWizard has created this [!output PROJECT_NAME] application for you.
|
||||||
|
|
||||||
|
This file contains a summary of what you will find in each of the files that
|
||||||
|
make up your [!output PROJECT_NAME] application.
|
||||||
|
|
||||||
|
|
||||||
|
This is the main project file for VC++ projects generated using an Application Wizard.
|
||||||
|
It contains information about the version of Visual C++ that generated the file, and
|
||||||
|
information about the platforms, configurations, and project features selected with the
|
||||||
|
Application Wizard.
|
||||||
|
|
||||||
|
This is the filters file for VC++ projects generated using an Application Wizard.
|
||||||
|
It contains information about the association between the files in your project
|
||||||
|
and the filters. This association is used in the IDE to show grouping of files with
|
||||||
|
similar extensions under a specific node (for e.g. ".cpp" files are associated with the
|
||||||
|
"Source Files" filter).
|
||||||
|
|
||||||
|
This is the main application source file.
|
||||||
|
|
||||||
|
/////////////////////////////////////////////////////////////////////////////
|
||||||
|
Other standard files:
|
||||||
|
|
||||||
|
StdAfx.h, StdAfx.cpp
|
||||||
|
These files are used to build a precompiled header (PCH) file
|
||||||
|
named [!output PROJECT_NAME].pch and a precompiled types file named StdAfx.obj.
|
||||||
|
|
||||||
|
/////////////////////////////////////////////////////////////////////////////
|
||||||
|
Other notes:
|
||||||
|
|
||||||
|
AppWizard uses "TODO:" comments to indicate parts of the source code you
|
||||||
|
should add to or customize.
|
||||||
|
|
||||||
|
/////////////////////////////////////////////////////////////////////////////
|
||||||
@@ -0,0 +1,33 @@
|
|||||||
|
#include <opencv2/objdetect.hpp>
|
||||||
|
#include <opencv2/highgui.hpp>
|
||||||
|
#include <opencv2/imgproc.hpp>
|
||||||
|
#include <iostream>
|
||||||
|
#include <stdio.h>
|
||||||
|
#include <cmath>
|
||||||
|
#include <opencv2/core/core.hpp>
|
||||||
|
#include <opencv2/highgui/highgui.hpp>
|
||||||
|
#include <opencv/cv.h>
|
||||||
|
#include <string>
|
||||||
|
|
||||||
|
using namespace cv;
|
||||||
|
using namespace std;
|
||||||
|
|
||||||
|
int main(int argc, char** argv)
|
||||||
|
{
|
||||||
|
Mat image = imread("input/Week2/basisfiguren.jpg", CV_LOAD_IMAGE_COLOR);
|
||||||
|
if (!image.data)
|
||||||
|
{
|
||||||
|
cout << "Could not open or find the image" << std::endl;
|
||||||
|
return -1;
|
||||||
|
}
|
||||||
|
|
||||||
|
Mat gray_image;
|
||||||
|
cvtColor(image, gray_image, CV_BGR2GRAY);
|
||||||
|
|
||||||
|
imshow("Source", image);
|
||||||
|
imshow("Gray image", gray_image);
|
||||||
|
|
||||||
|
waitKey(0);
|
||||||
|
|
||||||
|
return 0;
|
||||||
|
}
|
||||||
@@ -0,0 +1,106 @@
|
|||||||
|
// Functionaliteit: Testprogramma voor het testen van de allContours() functie
|
||||||
|
// Zie module Vision C++ voor Gevorderden Opdracht 2 van Fase 1
|
||||||
|
// De demo laat met avansvisionlib en OpenCV de contouren zien.
|
||||||
|
//
|
||||||
|
// De algoritmiek wordt in de eerste workshop toegelicht.
|
||||||
|
//
|
||||||
|
// Jan Oostindie, dd 8-11-2016
|
||||||
|
//
|
||||||
|
#include "opencv2/imgproc/imgproc.hpp"
|
||||||
|
#include "opencv2/highgui/highgui.hpp"
|
||||||
|
#include <iostream>
|
||||||
|
#include <string>
|
||||||
|
#include "avansvisionlib.h"
|
||||||
|
|
||||||
|
using namespace cv;
|
||||||
|
using namespace std;
|
||||||
|
|
||||||
|
|
||||||
|
int main(int argc, char *argv[])
|
||||||
|
{
|
||||||
|
// zie: project properties - configuration properties - debugging - command arguments
|
||||||
|
if (argc != 2)
|
||||||
|
{
|
||||||
|
cout << "NB! Geef als command argument volledige padnaam van de imagefile mee" << endl;
|
||||||
|
return -1;
|
||||||
|
}
|
||||||
|
else cout << "De imagefile = " << argv[1] << endl;
|
||||||
|
|
||||||
|
// Lees de afbeelding in
|
||||||
|
Mat image;
|
||||||
|
image = imread(argv[1], CV_LOAD_IMAGE_COLOR);
|
||||||
|
if (!image.data)
|
||||||
|
{
|
||||||
|
cout << "Could not open or find the image" << std::endl;
|
||||||
|
return -1;
|
||||||
|
}
|
||||||
|
|
||||||
|
// De afbeelding converteren naar een grijswaarde afbeelding
|
||||||
|
Mat gray_image;
|
||||||
|
cvtColor(image, gray_image, CV_BGR2GRAY);
|
||||||
|
|
||||||
|
// Converteren naar grijswaarde afbeelding
|
||||||
|
cout << "Imagefile: " << argv[1] << " met succes geconverteerd naar grijswaarde beeld." << endl;
|
||||||
|
|
||||||
|
////////////////////////////////////////////////////////////////////////////////
|
||||||
|
|
||||||
|
imshow("Original", gray_image);
|
||||||
|
waitKey(0);
|
||||||
|
|
||||||
|
/** ! Gebruik een region of interest voor de rummikub images **/
|
||||||
|
// Mat imageROI = gray_image(Rect(34, 28, 976, 82));
|
||||||
|
// imshow("imageROI", imageROI);
|
||||||
|
// waitKey(0);
|
||||||
|
|
||||||
|
// Grijswaarde afbeelding thresholden
|
||||||
|
Mat binaryImage;
|
||||||
|
|
||||||
|
/** ! Gebruik een region of interest voor de rummikub figuren **/
|
||||||
|
// threshold(imageROI, binaryImage, 65, 1, CV_THRESH_BINARY_INV);
|
||||||
|
|
||||||
|
// Stel een threshold in. Laad evt de figuur eerst in VisionLab om een goede
|
||||||
|
// threshold te bepalen.
|
||||||
|
// ! Comment this line out when using rummikub images
|
||||||
|
threshold(gray_image, binaryImage, 165, 1, CV_THRESH_BINARY_INV);
|
||||||
|
|
||||||
|
// Alvorens bewerkingen uit te voeren op het beeld converteren we deze
|
||||||
|
// naar een Mat object met grotere diepte (depth), t.w. 16 bits signed
|
||||||
|
Mat binary16S;
|
||||||
|
binaryImage.convertTo(binary16S, CV_16S);
|
||||||
|
|
||||||
|
show16SImageStretch(binary16S,"Binary image");
|
||||||
|
|
||||||
|
// haal de contouren uit het binary image
|
||||||
|
vector<vector<Point>> contours;
|
||||||
|
cout << "Contouren bepalen...";
|
||||||
|
int aantal = allContours(binary16S, contours); // <<<<*** De opdracht is dus om deze functie te maken ***
|
||||||
|
|
||||||
|
// druk alle punten van alle gevonden contouren af
|
||||||
|
string line;
|
||||||
|
cout << "Aantal gevonden contouren = " << contours.size() << endl;
|
||||||
|
getline(cin, line);
|
||||||
|
for (int i = 0; i < contours.size(); i++) {
|
||||||
|
cout << "*** Contour " << i + 1 << " ***" << endl;
|
||||||
|
cout << "Press ENTER to continue....";
|
||||||
|
getline(cin, line);
|
||||||
|
for (int j = 0; j < contours[i].size(); j++) {
|
||||||
|
cout << "(" << contours[i][j].x << "," << contours[i][j].y << ")" << endl;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Creeer een witte image
|
||||||
|
Mat contourImage = cvCreateImage(cvSize(binary16S.cols, binary16S.rows), IPL_DEPTH_8U, 3);
|
||||||
|
contourImage = Scalar(255, 255, 255);
|
||||||
|
|
||||||
|
// teken de contouren op de witte image
|
||||||
|
drawContours(contourImage, contours, -1, CV_RGB(255, 0, 0));
|
||||||
|
|
||||||
|
// druk het image met de contouren af
|
||||||
|
imshow("Found contours", contourImage);
|
||||||
|
waitKey(0);
|
||||||
|
|
||||||
|
string pipo;
|
||||||
|
cin >> pipo;
|
||||||
|
|
||||||
|
return 0;
|
||||||
|
}
|
||||||
@@ -0,0 +1,763 @@
|
|||||||
|
// avansvisionlib - Growing Visionlibrary of Avans based on OpenCV 2.4.10
|
||||||
|
// Goal: deep understanding of vision algorithms by means of developing own (new) algorithms.
|
||||||
|
//
|
||||||
|
// Copyright Jan Oostindie, basic version 1.0 dd 8-11-2016. Contains basic functions to perform calculations on matrices/images of class Mat.
|
||||||
|
// Including BLOB labeling functions
|
||||||
|
//
|
||||||
|
// Note: Students of Avans are free to use this library in projects and for own vision competence development. Others may ask permission to use it by means
|
||||||
|
// of sending an email to Jan Oostindie, i.e. jac.oostindie@avans.nl
|
||||||
|
|
||||||
|
#include "avansvisionlib.h"
|
||||||
|
#include <math.h>
|
||||||
|
#include <stdlib.h> /* srand, rand */
|
||||||
|
#include <time.h> /* time */
|
||||||
|
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
// Mat is call by reference
|
||||||
|
void setEntry(Mat m, int i, int j, double value) {
|
||||||
|
int index = i * m.cols + j;
|
||||||
|
double * p = m.ptr<double>(0);
|
||||||
|
p[index] = value;
|
||||||
|
} // setEntry
|
||||||
|
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
double getEntry(Mat m, int i, int j) {
|
||||||
|
int index = i * m.cols + j;
|
||||||
|
double * p = m.ptr<double>(0);
|
||||||
|
return *(p + index);
|
||||||
|
} // getEntry
|
||||||
|
|
||||||
|
|
||||||
|
// func: calculate product of a row and column of equal length
|
||||||
|
// pre: (row.cols == col.rows)
|
||||||
|
double inproduct(Mat row, Mat col) {
|
||||||
|
double * p1 = row.ptr<double>(0);
|
||||||
|
double * p2 = col.ptr<double>(0);
|
||||||
|
double sumproducts = 0;
|
||||||
|
for (int i = 0; i < row.cols; i++)
|
||||||
|
sumproducts += p1[i] * p2[i];
|
||||||
|
return sumproducts;
|
||||||
|
} // inproduct
|
||||||
|
|
||||||
|
void printMatrix(Mat m) {
|
||||||
|
for (int i = 0; i < m.rows; i++) {
|
||||||
|
for (int j = 0; j < m.cols; j++)
|
||||||
|
cout << getEntry(m, i, j) << " ";
|
||||||
|
cout << endl;
|
||||||
|
}
|
||||||
|
cout << endl;
|
||||||
|
} // printMatrix
|
||||||
|
|
||||||
|
|
||||||
|
Mat getRow(Mat m, int rowNr) {
|
||||||
|
Mat result = Mat_<double>(1, m.cols);
|
||||||
|
double entry;
|
||||||
|
for (int colNr = 0; colNr < m.cols; colNr++) {
|
||||||
|
entry = getEntry(m, rowNr, colNr);
|
||||||
|
// cout << " ** getRow ** " << endl;
|
||||||
|
// cout << " entry = " << entry << endl;
|
||||||
|
setEntry(result, 0, colNr, entry);
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // getRow
|
||||||
|
|
||||||
|
Mat getCol(Mat m, int colNr) {
|
||||||
|
Mat result = Mat_<double>(m.rows, 1);
|
||||||
|
double entry;
|
||||||
|
for (int rowNr = 0; rowNr < m.rows; rowNr++) {
|
||||||
|
entry = getEntry(m, rowNr, colNr);
|
||||||
|
// cout << " ** getColumn ** " << endl;
|
||||||
|
// cout << " entry = " << entry << endl;
|
||||||
|
setEntry(result, rowNr, 0, entry);
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // getCol
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
// pre: (a.cols == b.rows)
|
||||||
|
Mat multiply(Mat a, Mat b)
|
||||||
|
{
|
||||||
|
Mat result = Mat_<double>(a.rows, b.cols);
|
||||||
|
double inprod;
|
||||||
|
for (int arow = 0; arow < a.rows; arow++) {
|
||||||
|
for (int bcol = 0; bcol < b.cols; bcol++) {
|
||||||
|
inprod = inproduct(getRow(a, arow), getCol(b, bcol));
|
||||||
|
setEntry(result, arow, bcol, inprod);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // multiply
|
||||||
|
|
||||||
|
// pre: matrices have equal dimensions i.e. (a.cols == b.cols) & (a.rows == b.rows)
|
||||||
|
Mat add(Mat a, Mat b)
|
||||||
|
{
|
||||||
|
Mat result = Mat_<double>(a.rows, a.cols);
|
||||||
|
double entrysum;
|
||||||
|
for (int row = 0; row < a.rows; row++) {
|
||||||
|
for (int col = 0; col < a.cols; col++) {
|
||||||
|
entrysum = getEntry(a, row, col) + getEntry(b, row, col);
|
||||||
|
setEntry(result, row, col, entrysum);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // add
|
||||||
|
|
||||||
|
|
||||||
|
Mat transpose(Mat m) {
|
||||||
|
Mat result = Mat_<double>(m.cols, m.rows);
|
||||||
|
for (int row = 0; row < m.rows; row++)
|
||||||
|
for (int col = 0; col < m.cols; col++)
|
||||||
|
setEntry(result, col, row, getEntry(m, row, col));
|
||||||
|
return result;
|
||||||
|
} // transpose
|
||||||
|
|
||||||
|
|
||||||
|
// func: sets all entries of a matrix to a value
|
||||||
|
// pre: true
|
||||||
|
void setValue(Mat m, double value) {
|
||||||
|
for (int row = 0; row < m.rows; row++)
|
||||||
|
for (int col = 0; col < m.cols; col++)
|
||||||
|
setEntry(m, row, col, value);
|
||||||
|
} // setValue
|
||||||
|
|
||||||
|
|
||||||
|
double generateRandomValue(double min, double max) {
|
||||||
|
int steps = rand() % 100 + 1;
|
||||||
|
double dx = (max - min) / 100;
|
||||||
|
return min + dx * steps;
|
||||||
|
} // generateRandomValue
|
||||||
|
|
||||||
|
|
||||||
|
// func: sets all entries of a matrix to a random value in interval [min,max]
|
||||||
|
// pre: true
|
||||||
|
void setRandomValue(Mat m, double min, double max) {
|
||||||
|
srand(time(NULL));
|
||||||
|
for (int row = 0; row < m.rows; row++)
|
||||||
|
for (int col = 0; col < m.cols; col++)
|
||||||
|
setEntry(m, row, col, generateRandomValue(min, max));
|
||||||
|
} // randomValue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
/*********************************** Image operaties ****************************************/
|
||||||
|
// NB images are supposed to have 1 channel (B/W image) and depth 16 bits signed (CV_16S)
|
||||||
|
/********************************************************************************************/
|
||||||
|
|
||||||
|
void setEntryImage(Mat m, int i, int j, _int16 value) {
|
||||||
|
int index = i * m.cols + j;
|
||||||
|
_int16 * p = m.ptr<_int16>(0);
|
||||||
|
p[index] = value;
|
||||||
|
} // setEntry
|
||||||
|
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
_int16 getEntryImage(Mat m, int i, int j) {
|
||||||
|
int index = i * m.cols + j;
|
||||||
|
_int16 * p = m.ptr<_int16>(0);
|
||||||
|
return *(p + index);
|
||||||
|
} // getEntryImage
|
||||||
|
|
||||||
|
// func: calculate product of a row and column of equal length
|
||||||
|
// pre: (row.cols == col.rows)
|
||||||
|
_int16 inproductImage(Mat row, Mat col) {
|
||||||
|
_int16 * p1 = row.ptr<_int16>(0);
|
||||||
|
_int16 * p2 = col.ptr<_int16>(0);
|
||||||
|
_int16 sumproducts = 0;
|
||||||
|
for (int i = 0; i < row.cols; i++)
|
||||||
|
sumproducts += p1[i] * p2[i];
|
||||||
|
return sumproducts;
|
||||||
|
} // inproductImage
|
||||||
|
|
||||||
|
|
||||||
|
Mat getRowImage(Mat m, int rowNr) {
|
||||||
|
Mat result = Mat_<_int16>(1, m.cols);
|
||||||
|
_int16 entry;
|
||||||
|
for (int colNr = 0; colNr < m.cols; colNr++) {
|
||||||
|
entry = getEntryImage(m, rowNr, colNr);
|
||||||
|
setEntryImage(result, 0, colNr, entry);
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // getRow
|
||||||
|
|
||||||
|
Mat getColImage(Mat m, int colNr) {
|
||||||
|
Mat result = Mat_<_int16>(m.rows, 1);
|
||||||
|
_int16 entry;
|
||||||
|
for (int rowNr = 0; rowNr < m.rows; rowNr++) {
|
||||||
|
entry = getEntryImage(m, rowNr, colNr);
|
||||||
|
setEntryImage(result, rowNr, 0, entry);
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // getColImage
|
||||||
|
|
||||||
|
Mat multiplyImage(Mat a, Mat b)
|
||||||
|
{
|
||||||
|
Mat result = Mat_<_int16>(a.rows, b.cols);
|
||||||
|
_int16 inprod;
|
||||||
|
for (int arow = 0; arow < a.rows; arow++) {
|
||||||
|
for (int bcol = 0; bcol < b.cols; bcol++) {
|
||||||
|
inprod = inproductImage(getRow(a, arow), getColImage(b, bcol));
|
||||||
|
setEntry(result, arow, bcol, inprod);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // multiplyImage
|
||||||
|
|
||||||
|
// pre: matrices have equal dimensions i.e. (a.cols == b.cols) & (a.rows == b.rows)
|
||||||
|
Mat addImage(Mat a, Mat b)
|
||||||
|
{
|
||||||
|
Mat result = Mat_<_int16>(a.rows, a.cols);
|
||||||
|
_int16 entrysum;
|
||||||
|
for (int row = 0; row < a.rows; row++) {
|
||||||
|
for (int col = 0; col < a.cols; col++) {
|
||||||
|
entrysum = getEntryImage(a, row, col) + getEntryImage(b, row, col);
|
||||||
|
setEntryImage(result, row, col, entrysum);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
} // addImage
|
||||||
|
|
||||||
|
|
||||||
|
// func: searches the maximum pixel value in the image
|
||||||
|
// return: maximum pixel
|
||||||
|
_int16 maxPixelImage(Mat m) {
|
||||||
|
_int16 max = getEntryImage(m, 0, 0);
|
||||||
|
_int16 next;
|
||||||
|
for (int row = 0; row < m.rows; row++) {
|
||||||
|
for (int col = 0; col < m.cols; col++) {
|
||||||
|
next = getEntryImage(m, row, col);
|
||||||
|
if (next > max) max = next;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return max;
|
||||||
|
} // maxPixelImage
|
||||||
|
|
||||||
|
// func: searches the minimum pixel value in the image
|
||||||
|
// return: minimum pixel value
|
||||||
|
_int16 minPixelImage(Mat m) {
|
||||||
|
_int16 min = getEntryImage(m, 0, 0);
|
||||||
|
_int16 next;
|
||||||
|
for (int row = 0; row < m.rows; row++) {
|
||||||
|
for (int col = 0; col < m.cols; col++) {
|
||||||
|
next = getEntryImage(m, row, col);
|
||||||
|
if (next < min) min = next;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return min;
|
||||||
|
} // minPixelImage
|
||||||
|
|
||||||
|
// func: determines the range of the image, i.e. the minimum
|
||||||
|
// and maximum pixel value in the image
|
||||||
|
// post: range = minPixelValue, maxPixelValue
|
||||||
|
void getPixelRangeImage(Mat m, _int16 &minPixelValue, _int16 &maxPixelValue) {
|
||||||
|
_int16 max = getEntryImage(m, 0, 0);
|
||||||
|
_int16 min = getEntryImage(m, 0, 0);
|
||||||
|
_int16 next;
|
||||||
|
for (int row = 0; row < m.rows; row++) {
|
||||||
|
for (int col = 0; col < m.cols; col++) {
|
||||||
|
next = getEntryImage(m, row, col);
|
||||||
|
if (next > max) max = next;
|
||||||
|
else
|
||||||
|
if (next < min) min = next;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
minPixelValue = min;
|
||||||
|
maxPixelValue = max;
|
||||||
|
} // getPixelRangeImage
|
||||||
|
|
||||||
|
|
||||||
|
// func: stretches the image to a specified range
|
||||||
|
void stretchImage(Mat m, _int16 minPixelValue, _int16 maxPixelValue) {
|
||||||
|
_int16 min, max, oldValue, newValue;
|
||||||
|
getPixelRangeImage(m, min, max);
|
||||||
|
double scale = maxPixelValue - minPixelValue;
|
||||||
|
scale /= (max - min);
|
||||||
|
for (int row = 0; row < m.rows; row++) {
|
||||||
|
for (int col = 0; col < m.cols; col++) {
|
||||||
|
oldValue = getEntryImage(m, row, col);
|
||||||
|
newValue = scale * (oldValue - min) + minPixelValue;
|
||||||
|
setEntryImage(m, row, col, newValue);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
} // stretchImage
|
||||||
|
|
||||||
|
|
||||||
|
// func: shows a 16S image on the screen
|
||||||
|
// pre: m is a 16S image (depth 16 bits, signed)
|
||||||
|
void show16SImageStretch(Mat m, string windowTitle) {
|
||||||
|
Mat mCopy;
|
||||||
|
m.copyTo(mCopy);
|
||||||
|
stretchImage(mCopy, 0, 255);
|
||||||
|
mCopy.convertTo(mCopy, CV_8U);
|
||||||
|
// namedWindow(windowTitle, CV_WINDOW_AUTOSIZE);
|
||||||
|
imshow(windowTitle, mCopy);
|
||||||
|
waitKey(0);
|
||||||
|
} // show16SImage
|
||||||
|
|
||||||
|
// func: shows a 16S image on the screen. All values clipped to the interval 0-255
|
||||||
|
// i.e. value < 0 => 0; 0 <= value <= 255 => value ; value > 255 => 255
|
||||||
|
/// pre: m is a 16S image (depth 16 bits, signed)
|
||||||
|
void show16SImageClip(Mat m, string windowTitle) {
|
||||||
|
Mat mCopy;
|
||||||
|
m.copyTo(mCopy);
|
||||||
|
mCopy.convertTo(mCopy, CV_8U);
|
||||||
|
// namedWindow("show16SImageClip", CV_WINDOW_AUTOSIZE);
|
||||||
|
imshow(windowTitle, mCopy);
|
||||||
|
waitKey(0);
|
||||||
|
} // show16SImage
|
||||||
|
|
||||||
|
|
||||||
|
// func: histogram gamma correction
|
||||||
|
// pre: image has depth 8 bits unsigned and 1 or 3 channels
|
||||||
|
// post: entry(i,j) = 255*power(entry@pre(i,j)/255)^gamma
|
||||||
|
void gammaCorrection(Mat image, float gamma) {
|
||||||
|
unsigned char lut[256];
|
||||||
|
for (int i = 0; i < 256; i++) {
|
||||||
|
lut[i] = saturate_cast<uchar>(pow((float)(i / 255.0), gamma) * 255.0f);
|
||||||
|
}
|
||||||
|
// dst = src.clone();
|
||||||
|
const int channels = image.channels();
|
||||||
|
switch (channels) {
|
||||||
|
case 1: {
|
||||||
|
MatIterator_<uchar> it, end;
|
||||||
|
for (it = image.begin<uchar>(), end = image.end<uchar>(); it != end; it++)
|
||||||
|
*it = lut[(*it)];
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
case 3: {
|
||||||
|
MatIterator_<Vec3b> it, end;
|
||||||
|
for (it = image.begin<Vec3b>(), end = image.end<Vec3b>(); it != end; it++) {
|
||||||
|
(*it)[0] = lut[((*it)[0])];
|
||||||
|
(*it)[1] = lut[((*it)[1])];
|
||||||
|
(*it)[2] = lut[((*it)[2])];
|
||||||
|
}
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
} // switch
|
||||||
|
} // gammaCorrection
|
||||||
|
|
||||||
|
|
||||||
|
// func: makes a administration used for labeling blobs.
|
||||||
|
// the function adds a edge of 1 pixel wide tot a binary image, all with value 0.
|
||||||
|
// All 1's are made -1. The result is returned.
|
||||||
|
// This function is used by function labelBLOBs
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// return_matrix: All "1" are made "-1" meaning value 1 and unvisited.
|
||||||
|
Mat makeAdmin(Mat binaryImage) {
|
||||||
|
Mat result = Mat_<_int16>(binaryImage.rows+2, binaryImage.cols+2);
|
||||||
|
|
||||||
|
// eerste rij 0 maken
|
||||||
|
for (int col = 0; col < result.cols; col++)
|
||||||
|
setEntryImage(result,0,col,0);
|
||||||
|
|
||||||
|
// binaryImage copieren naar admin waarbij een 1 steeds wordt omgezet naar -1.
|
||||||
|
for (int row = 1; row < (result.rows-1); row++) {
|
||||||
|
|
||||||
|
// 0 vooraan de rij zetten
|
||||||
|
setEntryImage(result,row,0,0);
|
||||||
|
|
||||||
|
// rij binaryImage copieren
|
||||||
|
_int16 value;
|
||||||
|
for (int col = 1; col < result.cols - 1; col++) {
|
||||||
|
value = getEntryImage(binaryImage, row - 1, col - 1);
|
||||||
|
if (value == 1) value = -1;
|
||||||
|
setEntryImage(result, row, col, value);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 0 achteraan de rij zetten
|
||||||
|
setEntryImage(result, row, result.cols - 1, 0);
|
||||||
|
} // for
|
||||||
|
|
||||||
|
// laatste rij 0 maken
|
||||||
|
for (int col = 0; col < result.cols; col++)
|
||||||
|
setEntryImage(result, result.rows-1, col, 0);
|
||||||
|
|
||||||
|
return result;
|
||||||
|
} // makeAdmin
|
||||||
|
|
||||||
|
|
||||||
|
// func: Searches the next blob after position (row,col) i.e. searches
|
||||||
|
// the next -1 in admin
|
||||||
|
// post: if return_value == 1 then (row,col) contains the position
|
||||||
|
// where the next blob starts.
|
||||||
|
// return_value: 1 next blob found ; starting position is (row,col)
|
||||||
|
// 0 no blob found ; (row, col) == (-1, -1)
|
||||||
|
bool findNextBlob(Mat admin, int & row, int & col) {
|
||||||
|
|
||||||
|
bool found = false;
|
||||||
|
|
||||||
|
// zoeken in de huidige rij
|
||||||
|
for (int currCol = col; (currCol < (admin.cols - 1)) & !found; currCol++)
|
||||||
|
if (getEntryImage(admin, row, currCol) == -1) {
|
||||||
|
found = true;
|
||||||
|
// row unchanged
|
||||||
|
col = currCol;
|
||||||
|
}
|
||||||
|
|
||||||
|
// zoeken vanaf de volgende rij
|
||||||
|
for (int currRow = row+1; (currRow < (admin.rows-1)) &!found; currRow++)
|
||||||
|
for (int currCol = 1; (currCol < (admin.cols-1)) & !found; currCol++)
|
||||||
|
if (getEntryImage(admin, currRow, currCol) == -1) {
|
||||||
|
found = true;
|
||||||
|
row = currRow;
|
||||||
|
col = currCol;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (!found) {
|
||||||
|
row = -1;
|
||||||
|
col = -1;
|
||||||
|
}
|
||||||
|
return found;
|
||||||
|
}; // findNextBlob
|
||||||
|
|
||||||
|
// func: gets the entry of a neighbour pixel with relative position nr.
|
||||||
|
// Definition of relative positions nr:
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
_int16 getEntryNeighbour(const Mat & admin , int x, int y, int nr) {
|
||||||
|
switch (nr) {
|
||||||
|
case 0: return getEntryImage(admin, x - 1, y ); break;
|
||||||
|
case 1: return getEntryImage(admin, x - 1, y + 1); break;
|
||||||
|
case 2: return getEntryImage(admin, x , y + 1); break;
|
||||||
|
case 3: return getEntryImage(admin, x + 1, y + 1); break;
|
||||||
|
case 4: return getEntryImage(admin, x + 1, y); break;
|
||||||
|
case 5: return getEntryImage(admin, x + 1, y - 1); break;
|
||||||
|
case 6: return getEntryImage(admin, x, y - 1); break;
|
||||||
|
case 7: return getEntryImage(admin, x - 1, y - 1); break;
|
||||||
|
default: cout << "ERROR getEntryNeighbour " << endl;
|
||||||
|
}
|
||||||
|
} // getEntryNeighbour
|
||||||
|
|
||||||
|
// func: determines if there are more than 1 adjacent 1's
|
||||||
|
bool moreNext1(const Mat & admin, int x, int y) {
|
||||||
|
int cnt1 = 0;
|
||||||
|
bool more = false;
|
||||||
|
for (int nr = 0; (nr <= 7) & !more; nr++)
|
||||||
|
if (getEntryNeighbour(admin, x, y, nr) == -1) {
|
||||||
|
cnt1++;
|
||||||
|
if (cnt1 > 1) more = true;
|
||||||
|
}
|
||||||
|
return more;
|
||||||
|
} // moreNext1
|
||||||
|
|
||||||
|
// func: searches the first 1 when rotating around the pixel (currX,currY),
|
||||||
|
// starting at position 0. Definition of relative positions:
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
void findNext1(Mat admin, int & currX, int & currY, int & next1) {
|
||||||
|
int rotX, rotY;
|
||||||
|
|
||||||
|
rotX = currX - 1 ; rotY = currY ; //0
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 0;
|
||||||
|
else {
|
||||||
|
rotX = currX - 1; rotY = currY + 1; //1
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 1;
|
||||||
|
else {
|
||||||
|
rotX = currX; rotY = currY + 1; //2
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 2;
|
||||||
|
else {
|
||||||
|
rotX = currX + 1; rotY = currY + 1; //3
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 3;
|
||||||
|
else {
|
||||||
|
rotX = currX + 1; rotY = currY; //4
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 4;
|
||||||
|
else {
|
||||||
|
rotX = currX + 1; rotY = currY - 1; //5
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 5;
|
||||||
|
else {
|
||||||
|
rotX = currX; rotY = currY - 1; //6
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 6;
|
||||||
|
else {
|
||||||
|
rotX = currX - 1; rotY = currY - 1; //7
|
||||||
|
if (getEntryImage(admin, rotX, rotY) == -1) next1 = 7;
|
||||||
|
else next1 = -99;
|
||||||
|
} // 6
|
||||||
|
} // 5
|
||||||
|
} // 4
|
||||||
|
} // 3
|
||||||
|
} // 2
|
||||||
|
} // 1
|
||||||
|
} //0
|
||||||
|
if (next1 >= 0) {
|
||||||
|
currX = rotX;
|
||||||
|
currY = rotY;
|
||||||
|
}
|
||||||
|
} // findNext1
|
||||||
|
|
||||||
|
|
||||||
|
// func: labels all pixels of one blob which starts at position (row,col) with blobNr.
|
||||||
|
// This function is used by function labelBLOB's which labels all blobs.
|
||||||
|
// return_value: area of the blob
|
||||||
|
// Evaluation: This function uses a iterative algorithm in which a special labeling technique is
|
||||||
|
// is used which gives the opportunity to trace all individiual pixels. This makes it
|
||||||
|
// possible for example to save only these pixels on disk or to translate the object in
|
||||||
|
// in the image.
|
||||||
|
// The disadvantagae however is that the algorithm is more complicated an maybe a little bit
|
||||||
|
// slower than the recursive variant.
|
||||||
|
int labelIter(Mat & admin, int row, int col, int blobNr) {
|
||||||
|
// Every visited pixel is labeled with:
|
||||||
|
// blobNr*10 + <relative position to the parent >
|
||||||
|
//
|
||||||
|
// definition of relative positions
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
//
|
||||||
|
// The first visited pixel, i.e. (row,col), is labeled with:
|
||||||
|
// blobNr * 10 + 8
|
||||||
|
|
||||||
|
int x = row, y = col;
|
||||||
|
setEntryImage(admin, x, y, blobNr*10 + 8);
|
||||||
|
|
||||||
|
int next1 = -999;
|
||||||
|
int area = 1;
|
||||||
|
|
||||||
|
// flag more is set when any entry in the path has two or more
|
||||||
|
// unvisited neighbours because we visit only one at a time.
|
||||||
|
bool allLabeledFlag = true;
|
||||||
|
while (allLabeledFlag) {
|
||||||
|
allLabeledFlag = false;
|
||||||
|
bool pathLabeled = false;
|
||||||
|
while (!pathLabeled) {
|
||||||
|
|
||||||
|
if (!allLabeledFlag) allLabeledFlag = moreNext1(admin, x, y);
|
||||||
|
findNext1(admin, x, y, next1);
|
||||||
|
|
||||||
|
if (next1 >= 0) {
|
||||||
|
setEntryImage(admin, x, y, blobNr*10 + next1);
|
||||||
|
area++;
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
//findprevious
|
||||||
|
switch (getEntryImage(admin, x, y) % 10) {
|
||||||
|
case 0: x += 1; break;
|
||||||
|
case 1: x += 1; y -= 1; break;
|
||||||
|
case 2: y -= 1; break;
|
||||||
|
case 3: x -= 1; y -= 1; break;
|
||||||
|
case 4: x -= 1; break;
|
||||||
|
case 5: x -= 1; y += 1; break;
|
||||||
|
case 6: y += 1; break;
|
||||||
|
case 7: x += 1; y += 1; break;
|
||||||
|
case 8: pathLabeled = true; break; // currIndex should be 0 now
|
||||||
|
default: cout << "Error func labelIter!";
|
||||||
|
} // case
|
||||||
|
} // else
|
||||||
|
} // while
|
||||||
|
} // while (more)
|
||||||
|
return area;
|
||||||
|
} // labelIter
|
||||||
|
|
||||||
|
|
||||||
|
// func: labels all pixels of one blob which starts at position (topX,topY) with blobNr.
|
||||||
|
// During the labeling proces the centre of gravity is calculated.
|
||||||
|
// This function is used by function labelBLOBInfo
|
||||||
|
// return_value: area of the blob
|
||||||
|
// Evaluation: This function uses a iterative algorithm in which a special labeling technique is
|
||||||
|
// is used which gives the opportunity to trace all individiual pixels. This makes it
|
||||||
|
// possible for example to save only these pixels on disk or to translate the object in
|
||||||
|
// in the image.
|
||||||
|
// The disadvantagae however is that the algorithm is more complicated an maybe a little bit
|
||||||
|
// slower than the recursive variant.
|
||||||
|
int labelIterInfo(Mat & admin, int topX, int topY, int blobNr,
|
||||||
|
int & xGravity, int & yGravity) {
|
||||||
|
|
||||||
|
// Every visited pixel is labeled with:
|
||||||
|
// blobNr*10 + <relative position to the parent >
|
||||||
|
//
|
||||||
|
// definition of relative positions
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
//
|
||||||
|
// The first visited pixel, i.e. (row,col), is labeled with:
|
||||||
|
// blobNr * 10 + 8
|
||||||
|
|
||||||
|
xGravity = topX;
|
||||||
|
yGravity = topY;
|
||||||
|
int x = topX, y = topY;
|
||||||
|
setEntryImage(admin, topX, topY, blobNr * 10 + 8);
|
||||||
|
|
||||||
|
int next1 = -999;
|
||||||
|
int area = 1;
|
||||||
|
|
||||||
|
// allLabeledFlag is set when any entry in the path has two or more
|
||||||
|
// unvisited neighbours because we visit only one at a time.
|
||||||
|
// This algorithm good be speeded up by using a stack (future improvement)
|
||||||
|
bool allLabeledFlag = true;
|
||||||
|
while (allLabeledFlag) {
|
||||||
|
allLabeledFlag = false;
|
||||||
|
bool pathLabeled = false;
|
||||||
|
while (!pathLabeled) {
|
||||||
|
|
||||||
|
if (!allLabeledFlag) allLabeledFlag = moreNext1(admin, x, y);
|
||||||
|
findNext1(admin, x, y, next1);
|
||||||
|
|
||||||
|
if (next1 >= 0) {
|
||||||
|
setEntryImage(admin, x, y, blobNr * 10 + next1);
|
||||||
|
area++;
|
||||||
|
xGravity += x;
|
||||||
|
yGravity += y;
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
//findprevious
|
||||||
|
switch (getEntryImage(admin, x, y) % 10) {
|
||||||
|
case 0: x += 1; break;
|
||||||
|
case 1: x += 1; y -= 1; break;
|
||||||
|
case 2: y -= 1; break;
|
||||||
|
case 3: x -= 1; y -= 1; break;
|
||||||
|
case 4: x -= 1; break;
|
||||||
|
case 5: x -= 1; y += 1; break;
|
||||||
|
case 6: y += 1; break;
|
||||||
|
case 7: x += 1; y += 1; break;
|
||||||
|
case 8: pathLabeled = true; break; // currIndex should be 0 now
|
||||||
|
default: cout << "Error func labelIter!";
|
||||||
|
} // case
|
||||||
|
} // else
|
||||||
|
} // while
|
||||||
|
} // while (more)
|
||||||
|
xGravity /= area;
|
||||||
|
yGravity /= area;
|
||||||
|
return area;
|
||||||
|
} // labelIterInfo
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
// func: labels all pixels of one blob which starts at position (row,col) with blobNr.
|
||||||
|
// return_value: area of the blob
|
||||||
|
// Evaluation: This function uses a recursive algorithm which has the advantage that it is easy and trasparent.
|
||||||
|
// The disadvantagae however is that it claims a lot of spacee on the stack. I.e. every found
|
||||||
|
// pixel results in a function call which in case of large blobs causes a stack overflow.
|
||||||
|
int labelRecursive(Mat & admin, int row, int col, int blobNr) {
|
||||||
|
int area = 0;
|
||||||
|
// bij waarde -1 is het pixel nog niet bezocht
|
||||||
|
if (getEntryImage(admin, row, col) == -1) {
|
||||||
|
//cout << "(row,col) = " << "(" << row << "," << col << ")" << endl;
|
||||||
|
// pixel labelen met het volgnummer van de blob
|
||||||
|
setEntryImage(admin, row, col, blobNr);
|
||||||
|
area = 1;
|
||||||
|
|
||||||
|
// alle pixels rondom huidige pixel bezoeken
|
||||||
|
// (row-1,col-1) (row-1,col ) (row-1,col+1)
|
||||||
|
// (row ,col-1) (row, col ) (row ,col+1)
|
||||||
|
// (row+1,col-1) (row, col ) (row+1,col+1)
|
||||||
|
area += labelRecursive(admin, row - 1, col, blobNr);
|
||||||
|
area += labelRecursive(admin, row - 1, col + 1, blobNr);
|
||||||
|
area += labelRecursive(admin, row, col + 1, blobNr);
|
||||||
|
area += labelRecursive(admin, row + 1, col + 1, blobNr);
|
||||||
|
area += labelRecursive(admin, row, col, blobNr);
|
||||||
|
area += labelRecursive(admin, row + 1, col - 1, blobNr);
|
||||||
|
area += labelRecursive(admin, row, col - 1, blobNr);
|
||||||
|
area += labelRecursive(admin, row - 1, col - 1, blobNr);
|
||||||
|
}
|
||||||
|
return area;
|
||||||
|
} // label
|
||||||
|
|
||||||
|
// func: retrieves a labeledImage from the labeling administration
|
||||||
|
// pre : admin is contains labeled pixels with neighbour number information.
|
||||||
|
// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
||||||
|
// labeled with the number of the object they belong to.
|
||||||
|
void retrieveLabeledImage(const Mat & admin, Mat & labeledImage) {
|
||||||
|
labeledImage = Mat_<_int16>(admin.rows-2,admin.cols-2);
|
||||||
|
|
||||||
|
for (int row = 1; row < admin.rows-1; row++) {
|
||||||
|
for (int col = 1; col < admin.cols-1; col++) {
|
||||||
|
setEntryImage(labeledImage, row-1,col-1,
|
||||||
|
getEntryImage(admin, row, col) / 10);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
} // retrieveLabeledImage
|
||||||
|
|
||||||
|
|
||||||
|
// func: labeling of all blobs in a binary image
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
||||||
|
// labeled with the number of the object they belong to.
|
||||||
|
// return_value: the total number of objects.
|
||||||
|
int labelBLOBs(Mat binaryImage, Mat & labeledImage) {
|
||||||
|
|
||||||
|
// admin contains the administration of the recursive process.
|
||||||
|
// meaning of the entry values:
|
||||||
|
// -1: a "1" which is not visited yet. Changes to 1 when visited.
|
||||||
|
// 0: always a "0"
|
||||||
|
// 1, 2, 3,... : a "1" which is visited and is labeled with the object number.
|
||||||
|
Mat admin = makeAdmin(binaryImage);
|
||||||
|
int row = 1;
|
||||||
|
int col = 1;
|
||||||
|
|
||||||
|
// init volgnummer
|
||||||
|
int blobNr = 0;
|
||||||
|
|
||||||
|
// label alle BLOBs met een volgnummer
|
||||||
|
while ((row > 0) & (row < (admin.rows - 1)) &
|
||||||
|
(col > 0) & (col < (admin.cols - 1)))
|
||||||
|
if (findNextBlob(admin, row, col)) labelIter(admin, row, col, ++blobNr);
|
||||||
|
|
||||||
|
retrieveLabeledImage(admin, labeledImage);
|
||||||
|
|
||||||
|
// laatste volgnummer is gelijk aan het aantal gevonden blobs
|
||||||
|
return blobNr;
|
||||||
|
} // labelBLOBs
|
||||||
|
|
||||||
|
// func: removes a BLOB from the labeling administration
|
||||||
|
// pre: (posx,posy) is the position of the BLOB, blobNr the number
|
||||||
|
// of the blob to be removed.
|
||||||
|
void removeBLOB(Mat & admin, int blobNr) {
|
||||||
|
_int16 value;
|
||||||
|
for (int row = 1; row < admin.rows-2; row++)
|
||||||
|
for (int col = 1; col < admin.cols-2; col++) {
|
||||||
|
value = getEntryImage(admin, row, col);
|
||||||
|
while (value > 10) value /= 10;
|
||||||
|
if (value == blobNr) setEntryImage(admin, row, col, 0);
|
||||||
|
}
|
||||||
|
} // removeBLOB
|
||||||
|
|
||||||
|
// func: labeling of all blobs in a binary image with a area in [threhAreaMin,threhAreaMax]. Default
|
||||||
|
// threshold is [1,INT_MAX]. Alle gathered data during the labeling proces is returned,
|
||||||
|
// i.e. the positions of the firstpixel of each blob, the position of the blobs (i.e. the
|
||||||
|
// centres of gravity) and the area's of all blobs.
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
||||||
|
// labeled with the number of the object they belong to.
|
||||||
|
// areaVec: contains all area's of the blobs. The index corresponds to the number
|
||||||
|
// of the blobs. Index 0 has no meaning.
|
||||||
|
// return_value: the total number of objects.
|
||||||
|
int labelBLOBsInfo(Mat binaryImage, Mat & labeledImage,
|
||||||
|
vector<Point2d *> & firstpixelVec, vector<Point2d *> & posVec,
|
||||||
|
vector<int> & areaVec,
|
||||||
|
int threshAreaMin, int threshAreaMax) {
|
||||||
|
|
||||||
|
// admin contains the administration of the recursive process.
|
||||||
|
// meaning of the entry values:
|
||||||
|
// -1: a "1" which is not visited yet.
|
||||||
|
// 0: always a "0"
|
||||||
|
// 1, 2, 3,... : a "1" which is visited and is labeled with the object number.
|
||||||
|
Mat admin = makeAdmin(binaryImage);
|
||||||
|
int row = 1;
|
||||||
|
int col = 1;
|
||||||
|
|
||||||
|
// init volgnummer
|
||||||
|
int blobNr = 0;
|
||||||
|
int area;
|
||||||
|
int xGravity, yGravity;
|
||||||
|
// label alle BLOBs met een volgnummer
|
||||||
|
while ((row > 0) & (row < (admin.rows - 1)) &
|
||||||
|
(col > 0) & (col < (admin.cols - 1)))
|
||||||
|
|
||||||
|
if (findNextBlob(admin, row, col)) {
|
||||||
|
|
||||||
|
area = labelIterInfo(admin, row, col, ++blobNr, xGravity, yGravity);
|
||||||
|
|
||||||
|
if ((area >= threshAreaMin) & (area <= threshAreaMax)) {
|
||||||
|
firstpixelVec.push_back(new Point2d(row - 1, col - 1));
|
||||||
|
posVec.push_back(new Point2d(xGravity-1, yGravity-1));
|
||||||
|
areaVec.push_back(area);
|
||||||
|
}
|
||||||
|
else removeBLOB(admin, blobNr--);
|
||||||
|
}
|
||||||
|
|
||||||
|
retrieveLabeledImage(admin, labeledImage);
|
||||||
|
|
||||||
|
// laatste volgnummer is gelijk aan het aantal gevonden blobs
|
||||||
|
return blobNr;
|
||||||
|
} // labelBLOBsInfo
|
||||||
@@ -0,0 +1,233 @@
|
|||||||
|
// avansvisionlib - Growing Visionlibrary of Avans based on OpenCV 2.4.10
|
||||||
|
// Goal: deep understanding of vision algorithms by means of developing own (new) algorithms.
|
||||||
|
//
|
||||||
|
// Copyright Jan Oostindie, basic version 0.2 dd 15-9-2016. Contains basic functions to perform calculations on matrices/images of class Mat.
|
||||||
|
// Including BLOB labeling functions
|
||||||
|
//
|
||||||
|
// Note: Students of Avans are free to use this library in projects and for own vision competence development. Others may ask permission to use it by means
|
||||||
|
// of sending an email to Jan Oostindie, i.e. jac.oostindie@avans.nl
|
||||||
|
|
||||||
|
#include <opencv2/core/core.hpp>
|
||||||
|
#include <opencv2/highgui/highgui.hpp>
|
||||||
|
#include <opencv/cv.h>
|
||||||
|
#include <iostream>
|
||||||
|
#include <string>
|
||||||
|
|
||||||
|
using namespace cv;
|
||||||
|
using namespace std;
|
||||||
|
|
||||||
|
// remark: a functioncall with a Mat-object parameter is a call by reference
|
||||||
|
|
||||||
|
/*********************** PROTOTYPES of the function library ************************/
|
||||||
|
|
||||||
|
// func: setup a specified entry (i,j) of a matrix m with a specific value
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
void setEntry(Mat m, int i, int j, double value);
|
||||||
|
|
||||||
|
// func: get the value of a specified entry (i,j) of a matrix m
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
// return: <return_value> == m(i,j)
|
||||||
|
double getEntry(Mat m, int i, int j);
|
||||||
|
|
||||||
|
// func: calculate product of a row and column of equal length
|
||||||
|
// pre: (row.cols == col.rows) & (row.rows == 1) & (col.cols == 1)
|
||||||
|
double inproduct(Mat row, Mat col);
|
||||||
|
|
||||||
|
// func: prints matrix m in the console
|
||||||
|
// pre: true
|
||||||
|
void printMatrix(Mat m);
|
||||||
|
|
||||||
|
// func: select and get a row of a matrix m. rowNr contains the row number
|
||||||
|
// pre: 0 < rowNr < m.rows
|
||||||
|
// return: <result matrix> contains the selected row
|
||||||
|
Mat getRow(Mat m, int rowNr);
|
||||||
|
|
||||||
|
// func: get a column of a matrix m. colNr contains the column number
|
||||||
|
// pre: 0 < colNr < m.cols
|
||||||
|
// return: <result matrix> contains the selected column
|
||||||
|
Mat getCol(Mat m, int colNr);
|
||||||
|
|
||||||
|
// func: multiply two matrices a and b
|
||||||
|
// pre: (a.cols == b.rows)
|
||||||
|
// return: <result matrix>.rows == b.rows & <result matrix>.cols == b.cols
|
||||||
|
Mat multiply(Mat a, Mat b);
|
||||||
|
|
||||||
|
// pre: matrices have equal dimensions i.e. (a.cols == b.cols) & (a.rows == b.rows)
|
||||||
|
// return: <result matrix>(i,j) == a(i,j) + b(i,j) for all (0,0) <= (i,j) < (a.rows,a.cols)
|
||||||
|
Mat add(Mat a, Mat b);
|
||||||
|
|
||||||
|
// func: transposes a matrix
|
||||||
|
// return: <return_matrix>(i,j) = m(j,i) & <return_matrix>.rows = m.cols & <return_matrix>.cols = m.rows
|
||||||
|
Mat transpose(Mat m);
|
||||||
|
|
||||||
|
// func: sets all entries of a matrix to a certain value
|
||||||
|
// pre: true
|
||||||
|
void setValue(Mat m, double value);
|
||||||
|
|
||||||
|
// func: generates a randomvalue between min and max
|
||||||
|
// pre: true
|
||||||
|
double generateRandomValue(double min, double max);
|
||||||
|
|
||||||
|
|
||||||
|
// func: sets all entries of a matrix to a random value
|
||||||
|
// pre: true
|
||||||
|
void setRandomValue(Mat m, double min, double max);
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
/*********************************** Image operaties ****************************************/
|
||||||
|
// NB images are supposed to have 1 channel (B/W image) and depth 16 bits signed (CV_16S)
|
||||||
|
/********************************************************************************************/
|
||||||
|
|
||||||
|
// func: setup a specified entry (i,j) of a matrix m with a specific value
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
void setEntryImage(Mat m, int i, int j, _int16 value);
|
||||||
|
|
||||||
|
// func: get the value of a specified entry (i,j) of a matrix m
|
||||||
|
// pre: (i < m.rows) & (j < m.cols)
|
||||||
|
// return: <return_value> == m(i,j)
|
||||||
|
_int16 getEntryImage(Mat m, int i, int j);
|
||||||
|
|
||||||
|
// func: calculate product of a row and column of equal length
|
||||||
|
// pre: (row.cols == col.rows) & (row.rows == 1) & (col.cols == 1)
|
||||||
|
_int16 inproductImage(Mat row, Mat col);
|
||||||
|
|
||||||
|
// func: select and get a row of a matrix m. rowNr contains the row number
|
||||||
|
// pre: 0 < rowNr < m.rows
|
||||||
|
// return: <result matrix> contains the selected row
|
||||||
|
Mat getRowImage(Mat m, int rowNr);
|
||||||
|
|
||||||
|
// func: get a column of a matrix m. colNr contains the column number
|
||||||
|
// pre: 0 < colNr < m.cols
|
||||||
|
// return: <result matrix> contains the selected column
|
||||||
|
Mat getColImage(Mat m, int colNr);
|
||||||
|
|
||||||
|
// func: multiply two matrices a and b
|
||||||
|
// pre: (a.cols == b.rows)
|
||||||
|
// return: <result matrix>.rows == b.rows & <result matrix>.cols == b.cols
|
||||||
|
Mat multiplyImage(Mat a, Mat b);
|
||||||
|
|
||||||
|
// pre: matrices have equal dimensions i.e. (a.cols == b.cols) & (a.rows == b.rows)
|
||||||
|
// return: <result matrix>(i,j) == a(i,j) + b(i,j) for all (0,0) <= (i,j) < (a.rows,a.cols)
|
||||||
|
Mat addImage(Mat a, Mat b);
|
||||||
|
|
||||||
|
|
||||||
|
// func: searches the maximum pixel value in the image
|
||||||
|
// return: maximum pixel value
|
||||||
|
_int16 maxPixelImage(Mat m);
|
||||||
|
|
||||||
|
// func: searches the minimum pixel value in the image
|
||||||
|
// return: minimum pixel value
|
||||||
|
_int16 minPixelImage(Mat m);
|
||||||
|
|
||||||
|
// func: determines the range of the image, i.e. the minimum
|
||||||
|
// and maximum pixel value in the image
|
||||||
|
// post: range = minPixelValue, maxPixelValue
|
||||||
|
void getPixelRangeImage(Mat m, _int16 &minPixelValue, _int16 &maxPixelValue);
|
||||||
|
|
||||||
|
// func: transform scale the image
|
||||||
|
// return: maximum pixel value
|
||||||
|
void stretchImage(Mat m, _int16 minPixelValue, _int16 maxPixelValue);
|
||||||
|
|
||||||
|
// func: shows a 16S image on the screen. All values mapped on the interval 0-255
|
||||||
|
/// pre: m is a 16S image (depth 16 bits, signed)
|
||||||
|
void show16SImageStretch(Mat m, string windowTitle = "show16SImageStretch");
|
||||||
|
|
||||||
|
|
||||||
|
// func: shows a 16S image on the screen. All values clipped to the interval 0-255
|
||||||
|
// i.e. value < 0 => 0; 0 <= value <= 255 => value ; value > 255 => 255
|
||||||
|
/// pre: m is a 16S image (depth 16 bits, signed)
|
||||||
|
void show16SImageClip(Mat m, string windowTitle = "show16SImageClip");
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
// func: histogram gamma correction
|
||||||
|
// pre: image has depth 8 bits unsigned and 1 or 3 channels
|
||||||
|
// post: entry(i,j) = 255*power(entry@pre(i,j)/255)^gamma
|
||||||
|
void gammaCorrection(Mat image, float gamma);
|
||||||
|
|
||||||
|
|
||||||
|
// func: makes a administration used for labeling blobs.
|
||||||
|
// the function adds a edge of 1 pixel wide tot a binary image, all with value 0.
|
||||||
|
// All 1's are made -1. The result is returned.
|
||||||
|
// This function is used by function labelBLOBs
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// return_matrix: All "1" are made "-1" meaning value 1 and unvisited.
|
||||||
|
Mat makeAdmin(Mat binaryImage);
|
||||||
|
|
||||||
|
|
||||||
|
// func: Searches the next blob after position (row,col)
|
||||||
|
// post: if return_value == 1 then (row,col) contains the position
|
||||||
|
// where the next blob starts.
|
||||||
|
// return_value: true => blob found ; starting position is (row,col)
|
||||||
|
// false => no blob found ; (row, col) == (-1, -1)
|
||||||
|
bool findNextBlob(Mat admin, int & row, int & col);
|
||||||
|
|
||||||
|
|
||||||
|
// func: searches the first 1 when rotating around the pixel (currX,currY),
|
||||||
|
// starting at position 0. Definition of relative positions:
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
void findNext1(Mat admin, int & currX, int & currY, int & next1);
|
||||||
|
|
||||||
|
// func: gets the entry of a neighbour pixel with relative position nr.
|
||||||
|
// Definition of relative positions nr:
|
||||||
|
// 7 0 1
|
||||||
|
// 6 X 2
|
||||||
|
// 5 4 3
|
||||||
|
_int16 getEntryNeighbour(const Mat & admin, int x, int y, int nr);
|
||||||
|
|
||||||
|
|
||||||
|
// func: determines if there are more than 1 adjacent 1's
|
||||||
|
bool moreNext1(const Mat & admin, int x, int y);
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
// func: labels all pixels of one blob which starts at position (row,col) with blobNr.
|
||||||
|
// This function is used by function labelBLOB's which labels all blobs.
|
||||||
|
// return_value: area of the blob
|
||||||
|
// Evaluation: This function uses a iterative algorithm in which a special labeling technique is
|
||||||
|
// is used which gives the opportunity to trace all individiual pixels. This makes it
|
||||||
|
// possible for example to save only these pixels on disk or to translate the object in
|
||||||
|
// in the image.
|
||||||
|
// The disadvantagae however is that the algorithm is more complicated an maybe a little bit
|
||||||
|
// slower than the recursive variant.
|
||||||
|
int labelIter(Mat & admin, int row, int col, int blobNr);
|
||||||
|
|
||||||
|
|
||||||
|
// func: labels all pixels of one blob which starts at position (row,col) with blobNr.
|
||||||
|
// return_value: area of the blob
|
||||||
|
// Evaluation: This function uses a recursive algorithm which has the advantage that it is easy and trasparent.
|
||||||
|
// The disadvantagae however is that it claims a lot of spacee on the stack. I.e. every found
|
||||||
|
// pixel results in a function call which in case of large blobs causes a stack overflow.
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|
int labelRecursive(Mat & admin, int row, int col, int blobNr);
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|
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|
// func: retrieves a labeledImage from the labeling administration
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// pre : admin is contains labeled pixels with neighbour number information.
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// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
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|
// labeled with the number of the object they belong to.
|
||||||
|
void retrieveLabeledImage(const Mat & admin, Mat & labeledImage);
|
||||||
|
|
||||||
|
// func: labeling of all blobs in a binary image
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
||||||
|
// labeled with the number of the object they belong to.
|
||||||
|
// return_value: the total number of objects.
|
||||||
|
int labelBLOBs(Mat binaryImage, Mat & labeledImage);
|
||||||
|
|
||||||
|
|
||||||
|
// func: labeling of all blobs in a binary image with a area in [threshAreaMin,threshAreaMax]. Default
|
||||||
|
// threshold is [1,INT_MAX]. Alle gathered data during the labeling proces is returned,
|
||||||
|
// i.e. the positions of the firstpixel of each blob, the position of the blobs (i.e. the
|
||||||
|
// centres of gravity) and the area's of all blobs.
|
||||||
|
// pre : binaryImage has depth 16 bits signed int. Contains only values 0 and 1.
|
||||||
|
// post: labeledImage: binary 8-connected pixels with value 1 in binaryImage are
|
||||||
|
// labeled with the number of the object they belong to.
|
||||||
|
// areaVec: contains all area's of the blobs. The index corresponds to the number
|
||||||
|
// of the blobs. Index 0 has no meaning.
|
||||||
|
// return_value: the total number of objects.
|
||||||
|
int labelBLOBsInfo(Mat binaryImage, Mat & labeledImage,
|
||||||
|
vector<Point2d *> & firstpixelVec, vector<Point2d *> & posVec,
|
||||||
|
vector<int> & areaVec,
|
||||||
|
int threshAreaMin = 1, int threshAreaMax = INT_MAX);
|
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Reference in New Issue
Block a user