各种门槛

时间:2013-07-04 20:54:31

标签: image opencv tracking

我试图通过一个网络摄像头同时跟踪不同颜色的多个对象。现在我可以用单一阈值的单色做到这一点:

IplImage* GetThresholdedImage(IplImage* imgHSV)
{       
    IplImage* imgThresh=cvCreateImage(cvGetSize(imgHSV),IPL_DEPTH_8U, 1);
    cvInRangeS(imgHSV, cvScalar(170,160,60), cvScalar(180,2556,256), imgThresh); 
    return imgThresh;
}

我正在寻找一些提示来做各种门槛。如果它可能,它需要多少个窗口?我是否需要为不同的颜色指定不同的窗口?

1 个答案:

答案 0 :(得分:0)

最简单的方法是为要跟踪的每种颜色创建一个阈值图像。您可以修改函数以将其作为参数,而不是对阈值范围进行硬编码。这使您可以为不同的对象重用该函数。

修改后的功能可能如下所示:

IplImage* GetThresholdedImage(IplImage* imgHSV, CvScalar lower, CvScalar upper)
{       
    IplImage* imgThresh=cvCreateImage(cvGetSize(imgHSV),IPL_DEPTH_8U, 1);
    cvInRangeS(imgHSV, lower, upper, imgThresh); 
    return imgThresh;
}

然后使用不同对象的不同阈值调用它:

IplImage* hsv;    /* Already initialized*/

/* Set thresholds for blue and green objects as an example. */
/*Obviously, set these to be whatever is necessary. */
CvScalar blue_lower = cvScalar(110,60,10);
CvScalar blue_upper = cvScalar(120,256,256);
CvScalar green_lower = cvScalar(40,60,10);
CvScalar green_upper = cvScalar(71,256,256);

/* Get the images thresholded for blue and green. */
IplImage* blue_mask = GetThresholdedImage(hsv, blue_lower, blue_upper);
IplImage* green_mask = GetThresholdedImage(hsv, green_lower, green_upper);