Concentric Circle Detection Method Based on Minimum Enveloping Circle and Ellipse Fitting
Yiran Gu, Yifei Lu, Haigen Yang, Jianlin Huo · 2019
At present, the commonly used algorithm for detecting circles cannot be directly applied in the detection of concentric circles, there are few researches on the special multi - circle detection problems such as concentric circles. In this paper, the color concentric circles are transformed into gray scale images without color space conversion. The minimum envelopment circle is adopted to locate the target area quickly and accurately. Then, combined with the least square ellipse fitting method, each concentric circle is detected and the position of the center of the circle is marked. Finally, the experiment proves that the algorithm in this paper improves the detection efficiency and detection effect compared with the classical algorithm.