基于QT5的opencv学习之《学习opencv课后练习3-7》

#-------------------------------------------------

#

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

#

#-------------------------------------------------

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\

#include <highgui.h>

#include <cv.h>

#include <stdio.h>

int main()

{

// 加载一个三通道的彩色图像

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

// 分割成R, G, B三个单通道图像

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);

// 分离RGB图像的顺序为 B, G, R

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

// 克隆绿图两次

IplImage* clone1 = cvCloneImage(green_plane);

IplImage* clone2 = cvCloneImage(green_plane);

// 找到绿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);

// 将clone1的所有元素赋值为thresh = (unsigned char)((max - min)/2))

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

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

// 将clone2的所有元素赋零

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

// 生成掩码图像

cvCmp(green_plane, clone1, clone2, CV_CMP_GE);

// 显示结果

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);  //原始图片

cvvWaitKey(0);

cvReleaseImage(&srcImage);

cvReleaseImage(&red_plane);

cvReleaseImage(&green_plane);

cvReleaseImage(&blue_plane);

cvReleaseImage(&clone1);

cvReleaseImage(&clone2);

cvDestroyAllWindows();

return 0;

}