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A robust circle detection algorithm based on top-down least-square fitting analysis
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DOI：10.1016/j.compeleceng.2014.03.011.png)
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摘要
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In this paper, we propose a robust and efficient circle detector, which achieves accurate results with a controlled number of false detections and requires no parameter tuning. The proposed algorithm consists of three steps as follows. First, we propose a novel edge point chaining method to extract Canny edge segments (i.e., contiguous and sequential chains of Canny edge points). Second, we split each edge segment into several smooth sub-segments, and detect candidate circles within each obtained sub-segment based on top-down least-square fitting analysis. Third, we employ Desolneux et al.'s method to reject the false detections. Experimental results demonstrate that the proposed method is efficient and more robust than the state-of-the-art algorithm EDCircles. (c) 2014 Elsevier Ltd. All rights reserved.
Keyword:
HOUGH TRANSFORM
IMAGES
EDGE
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C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
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引用论文
EDCircles: A real-time circle detector with a false detection controlEDCircles: 具有错误检测控制的实时圆形检测器.png)
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