opencv灰度处理角点检测.doc

#includestdafx.h#include#includeopencv/cv.hpp#includeopencv2/highgui/highgui.hpp#includeopencv2/imgproc/imgproc.hpp#include#include#include#define max_corners 100using namespace cv;using namespace std;void main()/進行灰度處理 /*IplImage* img = 0;int height,width,step,channels;char * data;int i,j,k;int min=0 ,max=0 ,mid = 0,k1 = 0,k2 = 1,k3 = 2;img = cvLoadImage(C:/Documents and Settings/F1656465/桌面/lena1.bmp);height = img-height;width = img-width;step = img-widthStep;coutwidthwidthheightheightnChannels ;data= (char*)img-imageData;/cvNamedWindow(mainWin,CV_WINDOW_AUTOSIZE);/cvMoveWindow(mainWin,100,100);for(int i = 0;iheight;i+)for (j = 0;jwidth;j+)for (k = 0 ;kchannels;k+) if(i=200)&(j=800)coutR:(int)datai*step+j*channels+k1endl;coutG(int)datai*step+j*channels+k2endl;coutB(int)datai*step+j*channels+k3max)max = datai*step+j*channels+k;if (datai*step+j*channels+k min)min = datai*step+j*channels+k;if (j = 900)&(i =900)&(mid100)mid+;cout(int)datai*step+j*channels+kendl;coutstepstependl;coutchannelschannelsendl;/ /coutdatai*step+j*channels+kendl;/datai*step+j*channels+k = 0 ; if(datai*step+j*channels+k10)&(datai*step+j*channels+k240)&(datai*step+j*channels+k240) /(datai*step+j*channels+k255)| datai*step+j*channels+k1= 255;datai*step+j*channels+k2= 255;datai*step+j*channels+k3= 255;else datai*step+j*channels+k1= 0;/ datai*step+j*channels+k = 255;datai*step+j*channels+k2= 0;datai*step+j*channels+k3= 0;/datai*step+j*channels+k = 0; /datai*step+j*channels+k= 255-datai*step+j*channels+k;/cvShowImage(mainWin,img);/cvWaitKey(0);/cvReleaseImage(&img);coutProcessing image withheightendlwidthchannelsendl;coutHello World endl;cout最小值：minendl;cout最大值：maxheight;width = srcImage-width;step = srcImage-widthStep;coutwidthwidthheightheightnChannels ;data= (char*)srcImage-imageData;for(int i = 0;iheight;i+)for (j = 0;jwidth;j+)if(i=80)&(j=690) coutR:(int)datai*step+j*channels+k1endl;coutG(int)datai*step+j*channels+k2endl;coutB(int)datai*step+j*channels+k3endl;/(datai*step+j*channels+k140)& if(datai*step+j*channels+k210)&(datai*step+j*channels+k340)&(datai*step+j*channels+k340) /(datai*step+j*channels+k255)| datai*step+j*channels+k1= 255;datai*step+j*channels+k2= 255;datai*step+j*channels+k3= 255;else datai*step+j*channels+k1= 0;/ datai*step+j*channels+k = 255;datai*step+j*channels+k2= 0;datai*step+j*channels+k3= 0;/datai*step+j*channels+k = 0; /datai*step+j*channels+k= 255-datai*step+j*channels+k;grayImage = cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);cvCvtColor(srcImage,grayImage,CV_BGR2GRAY);corners1 = cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_32F,1);corners2 = cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_32F,1);cvGoodFeaturesToTrack(grayImage,corners1,corners2,corners,&cornerCount,qualityLever,minDistance,0);coutnum corners foud :cornerCount0)for(int i1 = 0;i1cornerCount;+i1)cvCircle(srcImage,cvPoint(int)(cornersi1.x),(int)(cornersi1.y),6,color,2,CV_AA,0);coutcornersi1.xendlcornersi1.yendl;/cvResizeWindow( image,400,300 );/cvMoveWindow( image, -800, -600 );cvS