1, edge detection of OPENCV image

This uses the canny function for edge detection

function definition:

void Const cvarr* image,cvarr* edges,double threshold1,doubleint aperture_size=3 );

Parameter description:

Image  // input single-channel images (which can be color images) can be modified with Cvcvtcolor () for multi-channel images.  /// output edge image, also single channel, but black /white/ / First threshold // Second threshold, in which a small threshold is used to control the edge connection, A large threshold is used to control the initial segmentation of strong edges.  // operator kernel size

1. Create a window to display the original image and the output image

1 Cvnamedwindow ("Example1", cv_window_autosize); 2 Cvnamedwindow ("Example2", cv_window_autosize);

2. Read the original image

1 iplimage* Img_rgb = Cvloadimage ("e:\\test.jpg");

3. Create a file structure for grayscale images

1 iplimage* img_gray = Cvcreateimage (Cvsize (img_rgb->width, img_rgb->height),2             img_rgb->Depth,3             1 4          );

4. Convert RGB original image to grayscale image

1 cvcvtcolor (Img_rgb, Img_gray, Cv_bgr2gray);

5, edge detection of grayscale image, and save to an image file

1  -  Max 3);

6. Release Image memory

1 cvreleaseimage (&Img_rgb); 2 cvreleaseimage (&img_gray); 3 cvreleaseimage (&IMG_CNY);

7. Close the window

1 Cvdestroywindow ("Example1"); 2 Cvdestroywindow ("Example2");

Full code:

1 /************************************************************************/2 /*Canny edge detection*/3 /************************************************************************/4#include"cv.h"5#include"highgui.h"6 7iplimage*Docanny (8iplimage*inch,9         DoubleLowthresh,Ten         DoubleHighthresh, One         DoubleAperture A     ) - { -     //canny can only handle grayscale graphs the     if(inch->nchannels! =1) -         return 0; -  -iplimage* out=Cvcreateimage ( +Cvgetsize (inch), -             inch-depth, +             1 A         ); at  -Cvcanny (inch, out, Lowthresh, Highthresh, aperture); -  -     return  out; -  - } in  - intMainintargcChar**argv) to { +Cvnamedwindow ("Example1", cv_window_autosize); -Cvnamedwindow ("Example2", cv_window_autosize); the  *iplimage* Img_rgb = Cvloadimage ("e:\\test.jpg"); $iplimage* Img_gray = Cvcreateimage (Cvsize (Img_rgb->width, img_rgb->height),Panax NotoginsengImg_rgb->depth, -             1 the          ); +  A Cvcvtcolor (Img_rgb, Img_gray, Cv_bgr2gray); the  +iplimage* IMG_CNY = Docanny (Img_gray, -, Max,3); -  $Cvshowimage ("Example1", Img_gray); $Cvshowimage ("Example2", IMG_CNY); -  -Cvwaitkey (0); the  -Cvreleaseimage (&Img_rgb);WuyiCvreleaseimage (&Img_gray); theCvreleaseimage (&img_cny); -  WuCvdestroywindow ("Example1"); -Cvdestroywindow ("Example2"); About  $      return 0; -}

1, edge detection of OPENCV image