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python Programming Glossary: cv.cv_hough_gradient

OpenCV dot target detection not finding all targets, and found circles are offset

http://stackoverflow.com/questions/10404062/opencv-dot-target-detection-not-finding-all-targets-and-found-circles-are-offse

blur 255 0 1 11 2 circles cv2.HoughCircles gray cv.CV_HOUGH_GRADIENT 3 100 None 200 100 5 16 try n np.shape circles circles np.reshape..

What are the correct usage/parameter values for HoughCircles in OpenCV for Iris detection?

http://stackoverflow.com/questions/10716464/what-are-the-correct-usage-parameter-values-for-houghcircles-in-opencv-for-iris

pupilArea circles cv.HoughCircles grayImg storage cv.CV_HOUGH_GRADIENT 2 10 32 200 minRad minRad 2 cv.ShowImage output grayImg while.. cv.CV_GAUSSIAN 7 7 cv.HoughCircles processed storage cv.CV_HOUGH_GRADIENT 2 32.0 30 550 draw_circles storage orig cv.ShowImage original.. the above code with this cv.HoughCircles processed storage cv.CV_HOUGH_GRADIENT 2 100.0 30 150 100 140 Gets us this Which isn't too bad. share..

Python and OpenCV. How do I detect all (filled)circles/round objects in an image?

http://stackoverflow.com/questions/5368449/python-and-opencv-how-do-i-detect-all-filledcircles-round-objects-in-an-image

im.rows 1 cv.CV_32FC3 cv.HoughCircles edges storage cv.CV_HOUGH_GRADIENT 2 gray.height 4 200 100 # Now supposing it found circles how.. im.width 1 cv.CV_32FC3 cv.HoughCircles edges storage cv.CV_HOUGH_GRADIENT 5 25 200 10 for i in xrange storage.width 1 radius storage i..

writing robust (color and size invariant) circle detection with opencv (based on Hough transform or other features)

http://stackoverflow.com/questions/9860667/writing-robust-color-and-size-invariant-circle-detection-with-opencv-based-on

try # extract circles cv.HoughCircles processed storage cv.CV_HOUGH_GRADIENT 2 32.0 HIGH LOW for i in range 0 len np.asarray storage print..