学习opencv-------函数使用二（图像变换）

  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 = 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 center
136     double angle
137     double scale
138     CvMat *map_matrix
139     )*/
140     cv2DRotationMatrix(center,angle,scale,rot_mat);
141     cvWarpAffine(src,dst,rot_mat);
142     cvShowImage("convolution",dst);
143 }
What I don't dare to say is I can't!