邊緣檢測

1、從攝像頭獲取視頻，保存圖片，進行二值化，保存。#include “stdafx.h“#include “stdafx.h“#include #includeIplImage* Igray = 0; IplImage* It = 0; IplImage* Iat; IplImage *g_pBinaryImage = 0; int main(){ IplImage* pFrame[2] = {NULL,NULL};//

2、定義一個指針數(shù)組，用于保存圖片（幀）；CvCapture* pCapture[2] = {NULL,NULL};//定義一個指針數(shù)組，用來保存圖像捕獲所需要的信息；CvCapture 為視頻獲取結構體。cvNamedWindow(“Camera1“,0);// cvNamedWindow(“Camera2“,0);cvResizeWindow(“Camera1“,300,300);// cvResizeWindow(“Camera2

3、“,300,300);pCapture[0] = cvCaptureFromCAM(0);// 函 數(shù) CvCapture* cvCaptureFromCAM （ intindex）給從攝//pCapture[1] = cvCaptureFromCAM(1);//像頭的視頻流分配和初始化 CvCapture 結構，index 為使用的攝像頭索引；if((!pCapture[0])) //如果不能打開攝像頭給出警告 { printf(“e

4、rror“);return -1;} while(1)cvReleaseImage(// cvReleaseImage(cvReleaseCapture(//cvReleaseCapture( cvReleaseImage( cvReleaseImage( cvDestroyAllWindows();return 0;}3.1 圖像讀取和灰度化01.IplImage* ColorImage = cvLoadImage( “12.j

5、pg“, -1 ); //讀入圖像，獲取彩圖指針 02.IplImage* OpenCvGrayImage; //定義變換后的灰度圖指針 03.unsigned char* ptr; //指向圖像的數(shù)據(jù)首地址 04.if (ColorImage == NULL) 05. return;

6、 06.int i = ColorImage->width * ColorImage->height; 07.BYTE data1; //中間過程變量 08.BYTE data2; 09.BYTE data3; 10.ptr = new unsigned char[i]; 11.for(intj=0; jheight; j++) //對 RGB 加

7、權平均，權值參考 OpenCV 12.{ 13. for(intx=0; xwidth; x++) 14. { 15. data1 = (BYTE)ColorImage->imageData[j*ColorImage->widthStep + i*3]; //B 分量16. data2 = (BYTE)ColorImage->imageData[j*ColorI

8、mage->widthStep + i*3 + 1]; //G 分量17. data3 = (BYTE)ColorImage->imageData[j*ColorImage->widthStep + i*3 + 2]; //R 分量 18. ptr[j*ColorImage->width+x]=(BYTE)(0.072169*data1 + 0.715160*data2 +0.

9、212671*data3); 19. } 20.} 21.OpenCvGrayImage=cvCreateImageHeader(cvGetSize(ColorImage), ColorImage->depth, 1); 22.cvSetData(GrayImage,ptr, GrayImage->widthStep); //根據(jù)數(shù)據(jù)生成灰度圖 23.cvNamedWindow(“Gr