opencv学习笔记之(二)

OpenCV 学习笔记之（二）：图像的基本操作（VS2010+OpenCV3.0 ） 本节对应 OpenCV.2.Computer.Vision.Application.Programming.Cookbook -第 3 章 Processing Images with Classes 中的 Using a Controller to communicate with processing modules 的部分。 本节把书中的提要详细化，给自已备份的同时也希望给别人一点启发。 开始 一、打开 VS2010，建立项目 二、下一步后，原来的“使用 Unicode 库”勾去掉。 三、完成后，出现编辑界面 四、编辑对话框，设计成如下界面。 五、点开“解决方案资源管理器” ，添加头文件 colordetector.h #if !defined COLORDETECT #define COLORDETECT #include class ColorDetector private: /minimum acceptable distance int minDist; /target color cv:Vec3b target; /image containing resulting binary map cv:Mat result; /inline private member function /Computes the distance from target color. int getDistance(const cv:Vec3b public: /empty constructor ColorDetector():minDist(100) / default parameter initialization here target0 = target1 = target2 = 0; /Getters and setters /Sets the color distance threshold /Threshold must be positive,otherwise distance threshold is set to 0. void setColorDistanceThreshold(int distance); /Gets the color distance threshold int getColorDistanceThreshold() const; / Sets the color to be detected void setTargetColor(unsigned char red,unsigned char green,unsigned char blue); / Sets the color to be detected void setTargetColor(cv:Vec3b color); / Gets the color to be detected cv:Vec3b getTargetColor() const; / Processes the image. Returns a 1-channel binary image. cv:Mat proecess(const cv:Mat ; #endif 六、添加源文件 colordetector.cpp #include “StdAfx.h“ #include“colordetector.h“ int ColorDetector:getDistance(const cv:Vec3b void ColorDetector:setColorDistanceThreshold(int distance) if ( distance :const_iterator it = image.begin(); cv:Mat_:const_iterator itend = image.end(); cv:Mat_:iterator itout = result.begin(); / for each pixel for ( ; it != itend; +it, +itout ) / process each pixel - / compute distance from target color if ( getDistance(*it) #include #include“colordetector.h“ class ColorDetectController private: static ColorDetectController *singleton; / pointer to the singleton ColorDetector *cdetect; / The image to be processed cv:Mat image; cv:Mat result; public: ColorDetectController(); / Sets the color distance threshold void setColorDistanceThreshold(int distance); / Gets the color distance threshold int getColorDistanceThreshold() const; / Sets the color to be detected void setTargetColor(unsigned char red,unsigned char green,unsigned char blue); / Gets the color to be detected void getTargetColor(unsigned char / Sets the input image. Reads it from file bool setInputImage(std:string filename); / Returns the current input image. const cv:Mat getInputImage() const; / Performs image processing void process(); / Returns the image result from the latest processing const cv:Mat getLastResult() const; / Deletes all processor objects created by the controller ColorDetectController(); / Singleton static members static ColorDetectController *getInstance() if (singleton = 0) singleton= new ColorDetectController; return singleton; / Releases the singleton instance of this controller. static void destroy(); ; #endif /colorDetectController.cpp #include “StdAfx.h“ #include“colorDetectController.h“ ColorDetectController *ColorDetectController:singleton = 0; ColorDetectController:ColorDetectController() / private constructor / setting up the application cdetect = new ColorDetector(); void ColorDetectController:setColorDistanceThreshold(int distance) cdetect-setColorDistanceThreshold(distance); int ColorDetectController:getColorDistanceThreshold() const return cdetect-getColorDistanceThreshold(); void ColorDetectController:setTargetColor(unsigned char red, unsigned char green, unsigned char blue) cdetect-setTargetColor(red,green,blue); void ColorDetectController:getTargetColor(unsigned char red = color2; green = color1; blue = color0; bool ColorDetectController:setInputImage(std:string filename) image = cv:imread(filename); if ( !image.data ) return false; else return true; const cv:Mat ColorDetectController:getInputImage() const return image; void ColorDetectController:process() result = cdetect-proecess(image); const cv:Mat ColorDetectController:getLastResult() const return result; ColorDetectController:ColorDetectController() delete cdetect; void ColorDetectController:destroy() if ( singleton != 0 ) delete singleton; singleton = 0; 八，双击 ColourDetectorDlg.h，出现编辑界面，导入头文件 colorDetectController.h 和定义 变量 colordetect 九、添加“Open Image”按钮和“Process ”按钮的事件处理程序 十、分别添加代码 void CColourDetectorDlg:OnBnClickedOpenButton() / TODO: 在此添加控件通知处理程序代码 CFileDialog dlg(TRUE,_T(“*.bmp“),NULL,OFN_FILEMUSTEXIST | OFN_PATHMUSTEXIST | OFN_HIDEREADONLY,_T(“image file(*.bmp; *.jpg)|*.bmp; *.jpg|All Files(*.*)|*.*|“),NULL); dlg.m_ofn.lpstrTitle = _T(“Open Image“); / if a filename has been selected if ( IDOK = dlg.DoModal() ) std:string filename = dlg.GetPathName(); / set and display the input image colordetect.setInputImage(filename); cv:imshow(“Input Image“,colordetect.getInputImage(); void CColourDetectorDlg:OnBnClickedProcessButton() / TODO: 在此