1 #include"cv.h"  2 #include"highgui.h"  3 using namespace cv;  4 void CVFILTER2D(IplImage * img, IplImage *dst);  5 void CVCOPYMAKEBORDER(IplImage *ori, IplImage *dst);  6 void CVSOBEL(IplImage * img, IplImage *dst);  7 void CVLAPLACE(IplImage *img, IplImage *dst);  8 void CVCANNY(IplImage *img);  9 void CVHOUGHCIRCLES(IplImage *img); 10 void CVINVERT(IplImage *img); 11 void CVCHANGE(IplImage *img); 12 int main() 13 { 14     IplImage *fromimg = cvLoadImage("e:/picture/Wife2.jpg"); 15     IplImage *getimg = cvCreateImage(cvSize(400,600),fromimg->depth,fromimg->nChannels); 16     cvResize(fromimg,getimg); 17     //IplImage *dest = cvCreateImage(cvSize(getimg->width+1,getimg->height+1),getimg->depth,getimg->nChannels);//for cvCopyMakeBorder() 18     IplImage *dest = cvCreateImage(cvSize(getimg->width, getimg->height), getimg->depth, getimg->nChannels); 19     CVFILTER2D(getimg,dest); 20     //CVCOPYMAKEBORDER(getimg,dest); 21     //CVSOBEL(getimg,dest); 22     //CVLAPLACE(getimg,dest); 23     //CVCANNY(getimg); 24     //CVHOUGHCIRCLES(getimg); 25     //CVCHANGE(getimg); 26     cvNamedWindow("convolution"); 27     cvNamedWindow("originpicture"); 28     cvShowImage("originpicture",getimg); 29  30     cvShowImage("convolution",dest); 31     cvWaitKey(0); 32     cvReleaseImage(&getimg); 33     cvReleaseImage(&dest); 34     cvDestroyAllWindows(); 35 } 36 void CVFILTER2D(IplImage * img ,IplImage *dst) 37 { 38     CvMat *mat = cvCreateMat(400,500,CV_32F); 39     cvFilter2D(img, dst, mat);//cvPoint(1,1)); 40 } 41 //卷积边界 42 void CVCOPYMAKEBORDER(IplImage *ori, IplImage *dst) 43 { 44     cvCopyMakeBorder(ori,dst,cvPoint(1,1),IPL_BORDER_CONSTANT,cvScalarAll(255)); 45 } 46 //梯度和Sobel导数 47 void CVSOBEL(IplImage * img, IplImage *dst) 48 { 49     cvSobel(img,dst,0,1,3);//cvSobel(const CvArr* src,CvArr* dst,int xorder,int yorder,int aperture_size=3（1,3,5,7）) 50 } 51 //拉普拉斯变换 52 void CVLAPLACE(IplImage *img, IplImage *dst) 53 { 54     cvLaplace(img, dst); 55 } 56 //canny算子检测边界 57 void CVCANNY(IplImage *img) 58 { 59     IplImage *grayimg = cvCreateImage(cvGetSize(img),img->depth,1); 60     cvCvtColor(img,grayimg,CV_RGB2GRAY); 61     cvCanny(grayimg,grayimg,100,100,3); 62     cvShowImage("convolution", grayimg); 63 } 64 //霍夫圆变换 65 void CVHOUGHCIRCLES(IplImage *img) 66 { 67     //IplImage *img = cvLoadImage(filename); 68  69     IplImage *image = cvCreateImage(cvGetSize(img), img->depth, 1); 70     cvCvtColor(img, image, CV_RGB2GRAY); 71         CvMemStorage *storage = cvCreateMemStorage(0); 72         cvSmooth(image,image,CV_GAUSSIAN,5,5); 73          74         CvSeq *results = cvHoughCircles( 75             image, 76             storage, 77             CV_HOUGH_GRADIENT, 78             2, 79             image->width / 10 80             ); 81         for (int i = 0; i < results->total; i++) 82         { 83             float *p = (float *)cvGetSeqElem(results,i); 84             CvPoint pt = cvPoint(cvRound(p[0]),cvRound(p[1])); 85             cvCircle(image,pt,cvRound(p[2]),CV_RGB(0xff,0xff,0xff)); 86         } 87         cvShowImage("convolution",image); 88      89 } 90 //图像颠倒位置 91 void CVINVERT(IplImage *img) 92 { 93     //cvRectangle(img,cvPoint(220,160),cvPoint(280,220),cvScalar(200,100,100),5); 94  95     cvSetImageROI(img,cvRect(220,160,60,60)); 96     cvFlip(img,img,-1); 97     cvResetImageROI(img); 98     //cvCvtColor(img,img,CV_RGB2BGR); 99     //cvSmooth(img,img,CV_GAUSSIAN);100     //cvShowImage("convolution",img);101 }102 void CVCHANGE(IplImage *img)//仿射变换103 {104     //定义两个CvPoint2D32F的数组105     //第一个数组用来标定将要变换的原始图像中的区域106     //第二个数组用来标定变换后的图像在窗口中的位置107     CvPoint2D32f SrcTri[3], DstTri[3];108     //定义仿射映射矩阵，然后计算（2*3的矩阵）109     CvMat *warp_mat = cvCreateMat(2,3,CV_32FC1);110     CvMat *rot_mat = cvCreateMat(2, 3, CV_32FC1);111     IplImage *src, *dst;112     src =http://www.mamicode.com/ img;113     dst = cvCloneImage(src);114     SrcTri[0].x = 0; SrcTri[0].y = 0;115     SrcTri[1].x = src->width-1; SrcTri[1].y = 0;116     SrcTri[2].x = 0; SrcTri[2].y = src->height - 1;117     DstTri[0].x = 0; DstTri[0].y = src->height*0.33;118     DstTri[1].x = src->width*0.85; DstTri[1].y = src->height*0.25;119     DstTri[2].x = src->width*0.15; DstTri[2].y = src->height*0.7;120     //获取映射矩阵121     cvGetAffineTransform(SrcTri,DstTri,warp_mat);122     //映射变换123     cvWarpAffine(src,dst,warp_mat);124     cvCopy(dst,img);125     //cvShowImage("convolution",dst);126     //下面是对变换后的图像进一步旋转127     CvPoint2D32f center = cvPoint2D32f(src->width/2,src->height/2);128     double angle = 50.0;129     double scale = 0.1;130     //旋转图像131     //上面center是旋转中心132     //下面函数的第二个和第三个参数给出了旋转的角度和缩放的尺度133     //最后一个参数是输出的映射矩阵134     /*cv2DRotationMatrix(135     CvPoint2D32F center136     double angle137     double scale138     CvMat *map_matrix139     )*/140     cv2DRotationMatrix(center,angle,scale,rot_mat);141     cvWarpAffine(src,dst,rot_mat);142     cvShowImage("convolution",dst);143 }