中值滤波,均值滤波,边缘检测,角点检测,基于opencv

1、#include <iostream>#include <cv.h>#include <highgui.h>using namespace std;bool FilterAV(IplImage* &image,int k);bool FilterAV2(IplImage* &image,int k);bool FilterMid(IplImage* &image,int k);bool FilterMid2(IplImage* &image,int k);bool FeatureTrack(IplImage* &ima

2、ge);bool EdgeTrack(IplImage* &image,int threshold1,int threshold2);int main(int argc,char *argv)/argc指变量的个数，*argv指向字符变量IplImage *img=0;int height,width,step,channels;uchar *data;/载入图像/img=cvLoadImage("OpenCvDemo.jpg",0);/转化为单通道，灰度图像5img=cvLoadImage("OpenCvDemo.jpg",0);if (!im

3、g)printf("could not load image file: %sn","OpenCvDemo.jpg");exit(0);/获取图像数据height=img->height;width=img->width;step=img->widthStep;channels=img->nChannels;data=(uchar*)img->imageData;printf("processing a %dx%d image with %d channelsn",height,width,channel

4、s);/创建窗口cvNamedWindow("mainWin",CV_WINDOW_AUTOSIZE);cvMoveWindow("mainWin",100,100);/移动窗口，以屏幕左上角的起点的偏移量/FilterAV2(img,3);/FilterAV(img,3);/FilterMid(img,3);/FilterMid2(img,3);/FilterAV(img,3);FeatureTrack(img);/EdgeTrack(img,60,80);/显示图像cvShowImage("mainWin",img);/wait

5、for a keycvWaitKey(0);/release the imagecvReleaseImage(&img);return 0;bool FilterAV(IplImage* &image,int k)/均值滤波IplImage *image2=cvCreateImage(cvSize(image->width,image->height),image->depth,1);uchar *p=(uchar *)image2->imageData;/申请image2图像空间int m=(k-1)/2;for (int x=m;x<image

6、->height-m;+x)for (int y=m;y<image->width-m;+y)int SumData=0;for (int i=-m;i<m+1;+i)for (int j=-m;j<m+1;+j)/k为奇数，计算k*k区域的灰度和SumData+=(int)(uchar *)image->imageData)(x+i)*image->widthStep+y+j;px*image->widthStep+y=SumData/(k*k);image=cvCloneImage(image2);/拷贝给原图像cvReleaseImage(

7、&image2);/销毁临时变量return true;bool FilterAV2(IplImage* &image,int k)/调用cvSmooth函数实现IplImage *dstImage=0;dstImage=cvCreateImage(cvGetSize(image),image->depth,1);cvSmooth(image,dstImage,CV_BLUR,k,k);/CV_BLUR在3*3大小进行均值滤波image=cvCloneImage(dstImage);cvReleaseImage(&dstImage);return true;boo

8、l FilterMid(IplImage* &image,int k)/中值滤波函数IplImage *image2=cvCreateImage(cvSize(image->width,image->height),image->depth,1);uchar *ImagePix=(uchar *)image2->imageData;int m=(k-1)/2;for (int x=m;x<image->height-m;+x)for (int y=m;y<image->width-m;+y)uchar PixArray100;int t=

9、0;for (int i=-m;i<m+1;+i)for(int j=-m;j<m+1;+j)/赋值操作PixArrayt+=(uchar *)image->imageData)(x+i)*image->widthStep+y+j;for (int i=0;i<k*k-1;+i)for(int j=0;j<k*k-i-1;+j)/起泡法快速排序if (PixArrayj>PixArrayj+1)uchar k=PixArrayj;PixArrayj=PixArrayj+1;PixArrayj+1=k;ImagePixx*image->widthS

10、tep+y=PixArray(k*k-1)/2;image=cvCloneImage(image2);/拷贝给原图像cvReleaseImage(&image2);/销毁临时变量return true;bool FilterMid2(IplImage* &image,int k)/IplImage *dstImage=0;/dstImage=cvCreateImage(cvGetSize(image),image->depth,1);/cvSmooth(image,dstImage,CV_MEDIAN,k,k);/CV_BLUR在3*3大小进行均值滤波/image=cvC

11、loneImage(dstImage);/cvReleaseImage(&dstImage);cvSmooth(image,image,CV_MEDIAN,k,k);return true; /角点检测与边缘检测bool FeatureTrack(IplImage* &image)CvPoint2D32f corners100000;int CornerCount=0;IplImage *corners1=0,*corners2=0;corners1= cvCreateImage(cvGetSize(image), image->depth, 1);corners2= c

12、vCreateImage(cvGetSize(image),image->depth, 1);cvGoodFeaturesToTrack(image,corners1,corners2,corners,&CornerCount,0.05,20,0);cout<<"Track over!"/ draw circles at each corner location in the gray image and/ print out a list the cornersfor (int i=0;i<CornerCount;+i)cvCircle(image,cvPoint(int)cornersi.x,(int)cornersi.y),5,cvScalar(255,255,255),2);cvReleaseImage(&corners1);cvReleaseImage(&corners2);return true;bool EdgeTrack(IplImage* &image,int threshold1,int threshold2)IplImage *edge=0;edg