A new method for circle detection, Hough gradient clustering method, has been developed in this paper. By using
gradient direction angle to find the diameter of a circle, the new method can rapidly detect the circle in a complex
background. The crucial steps in this method are the feature extraction and the clustering of the points which have the
same gray direction angle and are collinear along the gradient direction. The application of the two-to-one space
mapping and 1-2Hough transform can further reduce the useless calculation in the process of circle detection. Comparing
with the Hough gradient method in OpenCV, the newly developed method shows a higher efficiency of circle detection
in a complex background image as well as a great improvement in the anti-noise ability.
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