An occlusion-resistant circle detector using inscribed triangles

doi:10.1016/j.patcog.2020.107588

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 三维可视计算

	An occlusion-resistant circle detector using inscribed triangles
	Zhao, Mingyang 2,3; Jia, Xiaohong 2,3; Yan, Dong-Ming 1,2
刊名	PATTERN RECOGNITION
	2021
卷号	109 页码:15
关键词	Circle detection Inscribed triangle Parameter estimation Hough transform
ISSN号	0031-3203
DOI	10.1016/j.patcog.2020.107588
通讯作者	Jia, Xiaohong(xhjia@amss.ac.cn)
英文摘要	Circle detection is a critical issue in pattern recognition and image analysis. Conventional geometry-based methods such as tangent or symmetry are sensitive to noise or occlusion. Area computation is more robust against noise, because it avoids differential calculations. Inspired by this characteristic, we present a novel method for fast circle detection using inscribed triangles. The proposed algorithm, which is robust to noise and resistant to occlusion, first extracts circular arcs by approximating line segments and identifying inflection points and sharp corners. To speed up the computation, irrelevant segments are filtered out through the triangle inequality. Arcs that belong to the same circle are then combined according to the position constraint and the inscribed triangle constraint. The circle parameters are further estimated by inscribed triangles based upon the Theil-Sen estimator and linear error refinement without the dependence of least-square fitting but still with the equivalent accuracy. Finally, candidate circles are verified to prune false positives through an inlier ratio rule, which jointly considers both distance and angle deviations. Extensive experiments are conducted on synthetic images including overlapping circles, and real images from four diverse datasets (three publicly available and one we built). Results are compared with those of representative state-of-the-art methods, and the proposed method is demonstrated to embraces several advantages: resistant to occlusion, more robust to noise, and better performance and efficiency. (C) 2020 Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[61872354] ; National Natural Science Foundation of China[61772523] ; National Key R&D Program of China[2019YFB2204104] ; Beijing Natural Science Foundation[L182059] ; Beijing Natural Science Foundation[Z190004] ; Intelligent Science and Technology Advanced subject project of University of Chinese Academy of Sciences[115200S001] ; Open Research Fund Program of State key Laboratory of Hydroscience and Engineering, Tsinghua University[sklhse-2020-D-07] ; Alibaba Group through Alibaba Innovative Research Program
WOS关键词	HOUGH-TRANSFORM ; DETECTION ALGORITHM ; ELLIPSE DETECTOR
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000573025400001
资助机构	National Natural Science Foundation of China ; National Key R&D Program of China ; Beijing Natural Science Foundation ; Intelligent Science and Technology Advanced subject project of University of Chinese Academy of Sciences ; Open Research Fund Program of State key Laboratory of Hydroscience and Engineering, Tsinghua University ; Alibaba Group through Alibaba Innovative Research Program
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/41992]
专题	模式识别国家重点实验室_三维可视计算
通讯作者	Jia, Xiaohong
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, KLMM, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Mingyang,Jia, Xiaohong,Yan, Dong-Ming. An occlusion-resistant circle detector using inscribed triangles[J]. PATTERN RECOGNITION,2021,109:15.
APA	Zhao, Mingyang,Jia, Xiaohong,&Yan, Dong-Ming.(2021).An occlusion-resistant circle detector using inscribed triangles.PATTERN RECOGNITION,109,15.
MLA	Zhao, Mingyang,et al."An occlusion-resistant circle detector using inscribed triangles".PATTERN RECOGNITION 109(2021):15.