KMS Of Academy of mathematics and systems sciences, CAS
| An occlusion-resistant circle detector using inscribed triangles | |
| Zhao, Mingyang1,3; Jia, Xiaohong1,3; Yan, Dong-Ming2,3 | |
| 2021 | |
| Source Publication | PATTERN RECOGNITION
 |
| ISSN | 0031-3203 |
| Volume | 109Pages:15 |
| Abstract | 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. |
| Keyword | Circle detection Inscribed triangle Parameter estimation Hough transform |
| DOI | 10.1016/j.patcog.2020.107588 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000573025400001 |
| Publisher | ELSEVIER SCI LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/52227 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Jia, Xiaohong |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, KLMM, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment