Circular Target Detection Algorithm Based on Improved Random Hough Transform
Circular target detection has been widely used in various fields.In order to improve the detection efficiency of regular circles and reduce the missed detection rate of irregular circles,a circular target detection algorithm based on improved random Hough transform is proposed.Firstly,region growing and RGB binary segmentation are used to segment and denoise images with different backgrounds.Secondly,edge points with circular features in regions of the connected domain segmentation are used to detect and verify candidate circles.The comparison results show that the algorithm could significantly improve the detection efficiency of regular circles and reduce the missed detection rate of irregular circles.The algorithm has the advantages of low computation complexity,fast running rate and strong robustness.
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维普
