OpenCV：斑点周围的轮廓不正确

发布于 2024-10-10 08:59:17 字数 1834 浏览 7 评论 0原文

我试图在二值图像中围绕斑点绘制轮廓，但是，有时，openCV 会在两个不同的斑点周围绘制单个轮廓。下面是一个例子。我该如何解决这个问题？ alt text

这里应该为右侧的斑点绘制两个边界框，并为左侧的斑点单独绘制两个边界框。我同意他们很近，但他们之间有足够的距离。我只绘制外部轮廓而不是树或列表。我还使用 cvFindNextContour(contourscanner) 因为这对于我的情况来说是一个更简单的实现。

谢谢

编辑： “输出”窗口中显示的图像来自另一个仅执行图像减法的函数。 “轮廓”窗口中显示的图像位于函数 pplfind() 中。 “输出”图像被传递给 img_con()。


IplImage* img_con(IplImage* image){
    int ppl;
    CvMemStorage* memstr = cvCreateMemStorage();
    IplImage* edges = cvCreateImage(cvGetSize(image),8,1);
    cvCanny(image,edges,130,255);
    CvContourScanner cscan = cvStartFindContours(image,memstr,sizeof(CvContour),CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE,cvPoint(0,0));

ppl = pplfind(cscan,cvGetSize(image));
if (ppl !=0 )
    printf("Estimated number of people: %d\n",ppl);
cvEndFindContours(&cscan);
cvClearMemStorage(memstr);

return edges;


}

 int pplfind(CvContourScanner cscan, CvSize frSize){
    流文件；字符增益[50]；
    file.open("box.txt",ofstream::app);
    int ppl=0；
    CvSeq* c；
    IplImage *out = cvCreateImage(frSize,8,3);
    而（c = cvFindNextContour（cscan））{
        CvRect 框 = cvBoundingRect(c,1);
        if ((box.height > int(box.width*1.2))&&(box.height>20)){//&&(box.width<20)){//
            ppl++；
            cvRectangle(out,cvPoint(box.x,box.y),cvPoint(box.x+box.width,box.y+box.height),CV_RGB(255,0,50),1);

        cvShowImage("contours",out);
        //cvWaitKey();
    }
    //printf("Box Height: %d , Box Width: %d ,People: %d\n",box.height,box.width,ppl);
    //cvWaitKey(0);
    int coord = sprintf_s(buff,"%d,%d,%d\n",box.width,box.height,ppl);
    file.write(buff,coord);
}
file.close();
cvReleaseImage(&out);
return ppl;


 }

原文

I'm trying to draw contours around blobs in a binary image, however, sometimes, openCV draws a single contour around two distinct blobs. below is an example. How can i solve this issue?
alt text

Here it should draw two bounding boxes for the blob on the right and separately for the one of the left. I agree they are close but enough distance in between them. I'm only drawing External contours instead of the tree or list. I'm also using cvFindNextContour(contourscanner) as this is a easier implementation for my case.

Thanks

EDIT:
Image displayed in the "output" window is from a different function which does just image subtraction. Image displayed in the "contours" window is in the function pplfind(). "output" image is passed to img_con().


IplImage* img_con(IplImage* image){
    int ppl;
    CvMemStorage* memstr = cvCreateMemStorage();
    IplImage* edges = cvCreateImage(cvGetSize(image),8,1);
    cvCanny(image,edges,130,255);
    CvContourScanner cscan = cvStartFindContours(image,memstr,sizeof(CvContour),CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE,cvPoint(0,0));

ppl = pplfind(cscan,cvGetSize(image));
if (ppl !=0 )
    printf("Estimated number of people: %d\n",ppl);
cvEndFindContours(&cscan);
cvClearMemStorage(memstr);

return edges;

}
int pplfind(CvContourScanner cscan, CvSize frSize){

    ofstream file; char buff[50];

    file.open("box.txt",ofstream::app);

    int ppl =0;

    CvSeq* c;

    IplImage *out = cvCreateImage(frSize,8,3);

    while (c = cvFindNextContour(cscan)){

        CvRect box = cvBoundingRect(c,1);

        if ((box.height > int(box.width*1.2))&&(box.height>20)){//&&(box.width<20)){//

            ppl++;

            cvRectangle(out,cvPoint(box.x,box.y),cvPoint(box.x+box.width,box.y+box.height),CV_RGB(255,0,50),1);
        cvShowImage("contours",out);
        //cvWaitKey();
    }
    //printf("Box Height: %d , Box Width: %d ,People: %d\n",box.height,box.width,ppl);
    //cvWaitKey(0);
    int coord = sprintf_s(buff,"%d,%d,%d\n",box.width,box.height,ppl);
    file.write(buff,coord);
}
file.close();
cvReleaseImage(&out);
return ppl;

}

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彡翼 2024-10-17 08:59:17

我从未使用过 cvFindNextContour，但在图像上使用 CV_RETR_EXTERNAL 运行 cvFindContours 似乎工作正常：

alt text

我使用 OpenCV + Python，所以这段代码可能对您没有用，但为了完整起见，这里是：

contours = cv.findContours(img, cv.CreateMemStorage(0), mode=cv.CV_RETR_EXTERNAL)
while contours:
    (x,y,w,h) = cv.BoundingRect(contours)
    cv.Rectangle(colorImg, (x,y), (x+w,y+h), cv.Scalar(0,255,255,255))
    contours = contours.h_next()

编辑：您问如何绘制仅那些具有某些属性的轮廓；它会是这样的：

contours = cv.findContours(img, cv.CreateMemStorage(0), mode=cv.CV_RETR_EXTERNAL)
while contours:
    (x,y,w,h) = cv.BoundingRect(contours)
    if h > w*1.2 and h > 20:
        cv.Rectangle(colorImg, (x,y), (x+w,y+h), cv.Scalar(0,255,255,255))
    contours = contours.h_next()

I've never used cvFindNextContour, but running cvFindContours with CV_RETR_EXTERNAL on your image seems to work fine:

alt text

I use OpenCV + Python, so this code might not be useful for you, but for the sake of completeness here it goes:

contours = cv.findContours(img, cv.CreateMemStorage(0), mode=cv.CV_RETR_EXTERNAL)
while contours:
    (x,y,w,h) = cv.BoundingRect(contours)
    cv.Rectangle(colorImg, (x,y), (x+w,y+h), cv.Scalar(0,255,255,255))
    contours = contours.h_next()

Edit: you asked how to draw only those contours with certain properties; it would be something like this:

contours = cv.findContours(img, cv.CreateMemStorage(0), mode=cv.CV_RETR_EXTERNAL)
while contours:
    (x,y,w,h) = cv.BoundingRect(contours)
    if h > w*1.2 and h > 20:
        cv.Rectangle(colorImg, (x,y), (x+w,y+h), cv.Scalar(0,255,255,255))
    contours = contours.h_next()

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