This is some modifications to the source code provided by RUADHAN, which can detect angular points in the image. The application environment is: OpenCV Beta 4, VC6 compiles run.
Run file download address:
http://www.ssuredigit.com/program/corner.exe
========== # include
#include "cv.h"
#include "highgui.h"
#define max_corners 100
int main (int argc, char ** argv) {int cornerCount = max_corners; CvPoint2D32f corners [max_corners]; double qualityLevel; double minDistance; IplImage * srcImage = 0, * grayImage = 0, * corners1 = 0, * corners2 = 0; INT i; cvscalar color = CV_RGB (255, 0); char * filename = argc == 2? Argv [1]: (char *) "..///ww // pic3.png"; cvNamedWindow ( "image", 1); // create HighGUI window with name "image" // Load the image to be processed srcImage = cvLoadImage (filename, 1); grayImage = cvCreateImage (cvGetSize (srcImage), IPL_DEPTH_8U, 1); // copy the source image to copy image after converting the format cvCvtColor (srcImage, grayImage, CV_BGR2GRAY); // create empty images of same size as the copied images corners1 = cvCreateImage (cvGetSize (srcImage), IPL_DEPTH_32F, 1); corners2 = CvcreateImage (cvgetsize (srcimage), IPL_Depth_32f, 1); Cvgoodfeaturestotrack (GrayImage, Corners1, Corners2, Corners, & CornerCount, 0.05, 5, 0); Printf ("Num Corners Found:% D / N", CornerCount); // Draw Circles At Each Corner Location In The Gray Image and // Print Out A List The Corners IF (CornerCount> 0) {for (i = 0; i
{
Cvcircle (SRCIMAGE, CVPOINT (Corners [i] .x), (int) (Corners [i] .y), 6,
Color, 2, CV_AA, 0);
}
}
CvShowImage ("Image", SRCIMAGE
CVRELEASEIMAGE (& SRCIMAGE); CVRELEASEIMAGE (& grayImage);
CVRELEASEIMAGE (& CORNERS1);
CVRELEASEIMAGE (& Corners2);
CvwaitKey (0); // Wait for Key. The Function HAS
Return 0;
}
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敕敕川, 阴 山
It is like a mountain, shrouded four wild
Tiantang, wild, wind, grass, low cows and sheep
