Created
May 29, 2015 08:41
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Detect red circles with OpenCV 2.4.11
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| Mat src(height, width, CV_8UC4, const_cast<unsigned char*>(imageData.data())); | |
| Mat src_gray, hsv, final; | |
| // Create the final image to display | |
| cvtColor(src, final, CV_BGRA2RGBA); | |
| // Remove useless alpha canal | |
| cvtColor(src, src, CV_BGRA2BGR); | |
| // Convert image to HSV | |
| cvtColor(src, hsv, COLOR_BGR2HSV); | |
| Mat lower_red_hue_range; | |
| Mat upper_red_hue_range; | |
| inRange(hsv, cv::Scalar(0, 100, 100), cv::Scalar(10, 255, 255), lower_red_hue_range); | |
| inRange(hsv, cv::Scalar(160, 100, 100), cv::Scalar(179, 255, 255), upper_red_hue_range); | |
| Mat red_hue_image; | |
| addWeighted(lower_red_hue_range, 1.0, upper_red_hue_range, 1.0, 0.0, red_hue_image); | |
| GaussianBlur(red_hue_image, red_hue_image, cv::Size(9, 9), 2, 2); | |
| // Use the Hough transform to detect circles in the combined threshold image | |
| std::vector<cv::Vec3f> circles; | |
| HoughCircles(red_hue_image, circles, CV_HOUGH_GRADIENT, 1, red_hue_image.rows / 8, 100, 20, 0, 0); |
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excellent job ! red color in the range of 0 to 10 and 160 to 180. can i know green and blue range ?