【发布时间】:2011-10-18 00:35:49
【问题描述】:
您将如何使用 opencv 中的 cvHoughcircles 识别每个检测到的圆圈的颜色? 我添加了显示我当前正在尝试的代码,但出现错误:imageTest1.exe 中 0x758d9617 处的未处理异常:Microsoft C++ 异常:内存位置 0x0019eed4 处的 cv::Exception
#include <stdio.h>
#include <cv.h>
#include <highgui.h>
#include <math.h>
int main(int argc, char** argv)
{
//load image from directory
IplImage* img = cvLoadImage("C:\\Users\\Nathan\\Desktop\\SnookerPic.png");
IplImage* gray = cvCreateImage(cvGetSize(img), IPL_DEPTH_8U, 1);
CvMemStorage* storage = cvCreateMemStorage(0);
//covert to grayscale
cvCvtColor(img, gray, CV_BGR2GRAY);
// This is done so as to prevent a lot of false circles from being detected
cvSmooth(gray, gray, CV_GAUSSIAN, 7, 7);
IplImage* canny = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
IplImage* rgbcanny = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,3);
cvCanny(gray, canny, 50, 100, 3);
//detect circles
CvSeq* circles = cvHoughCircles(gray, storage, CV_HOUGH_GRADIENT, 1, 35.0, 75, 60,0,0);
cvCvtColor(canny, rgbcanny, CV_GRAY2BGR);
//draw all detected circles
for (int i = 0; i < circles->total; i++)
{
// round the floats to an int
float* p = (float*)cvGetSeqElem(circles, i);
cv::Point center(cvRound(p[0]), cvRound(p[1]));
int radius = cvRound(p[2]);
cvScalar c;
c = cvGet2D(img, center.x, center.y);//colour of circle
// draw the circle center
cvCircle(img, center, 3, CV_RGB(0,255,0), -1, 8, 0 );
// draw the circle outline
cvCircle(img, center, radius+1, CV_RGB(0,0,255), 2, 8, 0 );
//display coordinates
printf("x: %d y: %d r: %d\n",center.x,center.y, radius);
}
//create window
cvNamedWindow("circles", 1);
cvNamedWindow("SnookerImage", 1);
//show image in window
cvShowImage("circles", rgbcanny);
cvShowImage("SnookerImage", img);
cvSaveImage("out.png", rgbcanny);
cvWaitKey(0);
return 0;
}
【问题讨论】:
-
您可以在这里找到相同的问题:stackoverflow.com/questions/7748350/…
-
谢谢。我添加了 cvScalar 代码,但现在内存位置出现错误??
-
你能发布你的代码和错误吗?也许我们可以提供更多这样的帮助。
-
我已经发布了我的代码和错误。希望能帮到你
-
嗯,我看到的唯一错误是 cvScalar c,它应该是 CvScalar c。但这应该会产生编译错误。您应该调试它并查看它在哪里崩溃。如果您将图片上传到某个服务器并传递链接,也许我稍后可以查看。