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2012 International Conference on Computing, Measurement, Control and Sensor Network
A Circle Detection Algorithm Based on Mathematical Morphology and Chain Code
Taiyuan, Shanxi China
July 07-July 09
ISBN: 978-0-7695-4738-1
Circle is often used in application of computer vision. It is the most essential and most important task to detect circle in measurement based image. Hough transform is used widely in circle detection. But when lens and circle surface are non-parallel because of objective reason, leading to obtain the actual image is not a standard round, the conduct of this detection algorithm will be extremely difficult, or even not possible. So it can not be used in real time detection. This paper proposes an algorithm of circle detection which is based on mathematical morphology and chain code. It uses digital image processing techniques for binarization image and morphology method for completing edge contour extraction. Then it determines the circularity index by chain code of the edge of the image. Finally, it compares the circularity index with the preset threshold, so as to calculate the centroid. Experimental results show that this algorithm is simple and effective, and is sub-pixel accuracy.
Index Terms:
circle detection, mathematical morphology, circularity, chain code
Citation:
Zhaoxia Fu, Yan Han, "A Circle Detection Algorithm Based on Mathematical Morphology and Chain Code," cmcsn, pp.253-256, 2012 International Conference on Computing, Measurement, Control and Sensor Network, 2012
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