基於QT5的opencv學習之《學習opencv課後練習3-7》

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# Project created by QtCreator 2015-11-23T20:46:54

#

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QT       += core

QT       -= gui

TARGET = exercise3-7

CONFIG   += console

CONFIG   -= app_bundle

TEMPLATE = app

SOURCES += main.cpp

CONFIG += c++11

INCLUDEPATH+=D:\opencv\opencv\build\include\opencv\

D:\opencv\opencv\build\include\opencv2\

       D:\opencv\opencv\build\include

LIBS+=D:\opencv\opencv\build\x86\mingw\lib\libopencv_calib3d248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_contrib248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_core248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_features2d248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_flann248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_gpu248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_highgui248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_imgproc248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_legacy248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_ml248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_objdetect248.dll.a\

  D:\opencv\opencv\build\x86\mingw\lib\libopencv_video248.dll.a\

以下是main.cpp

#include <highgui.h>

 #include <cv.h>

 #include <stdio.h>

int main()

 {

     // 加載一個三通道的彩色圖像

     IplImage * srcImage = cvLoadImage("D:\\OpencvforQT\\picture\\lena.jpg", 1);

     // 分割成R, G, B三個單通道圖像

     IplImage* red_plane = cvCreateImage(cvGetSize(srcImage), srcImage->depth, 1);

     IplImage* green_plane = cvCreateImage(cvGetSize(srcImage), srcImage->depth, 1);

     IplImage* blue_plane = cvCreateImage(cvGetSize(srcImage), srcImage->depth, 1);

     // 分離RGB圖像的順序爲 B, G, R

     cvSplit(srcImage, blue_plane, green_plane, red_plane,  NULL);

     // 克隆綠圖兩次

     IplImage* clone1 = cvCloneImage(green_plane);

     IplImage* clone2 = cvCloneImage(green_plane);

     // 找到綠色平面的最大值和最小值

     double dMaxValue, dMinValue;

     cvMinMaxLoc(green_plane, &dMinValue, &dMaxValue, NULL, NULL, NULL);

     printf("Max: %f\tMin: %f\n", dMaxValue, dMinValue);

     // 將clone1的所有元素賦值爲thresh = (unsigned char)((max - min)/2))

     unsigned char thresh = (dMaxValue - dMinValue)/2;

     cvSet(clone1, cvScalarAll(thresh), 0);

     // 將clone2的所有元素賦零

     cvSet(clone2, cvScalarAll(0), 0);

     // 生成掩碼圖像

     cvCmp(green_plane, clone1, clone2, CV_CMP_GE);

     // 顯示結果

     cvSubS(green_plane, cvScalarAll(thresh/2), green_plane, clone2 );

     cvShowImage("clone1", clone1);    //窗口名要用英文

     cvShowImage("clone2", clone2);

     cvShowImage("Red", red_plane);

     cvShowImage("Green", green_plane);

     cvShowImage("Blue", blue_plane);

     cvShowImage("Soure", srcImage);  //原始圖片

     cvvWaitKey(0);

     cvReleaseImage(&srcImage);

     cvReleaseImage(&red_plane);

     cvReleaseImage(&green_plane);

     cvReleaseImage(&blue_plane);

     cvReleaseImage(&clone1);

     cvReleaseImage(&clone2);

     cvDestroyAllWindows();

     return 0;

 }