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A hybrid method for ellipse detection in industrial images
Chen SL(陈松林); Xia RB(夏仁波); Zhao JB(赵吉宾); Chen YL(陈月玲); Hu MB(胡茂邦)
作者部门装备制造技术研究室
关键词Ellipse Detection Edge Following Method Hough Transform Industrial Application Reliability
发表期刊Pattern Recognition
ISSN0031-3203
2017
卷号68页码:82-98
收录类别SCI ; EI
EI收录号20171603586478
WOS记录号WOS:000401381100007
产权排序1
资助机构Natural Science Foundation of China [51375476]
摘要Many ellipse detection methods have been proposed for detecting ellipses in images. However, they are unsuitable for industrial images due to low signal-to-noise ratios (SNR). This paper presents an ellipse detection method combining the advantages of Hough transform(HT) based methods and the advantages of edge following methods, which is capable of detecting fragmented ellipses and is both computational and memory efficient. Our method works in two steps. In the first step, an edge following method is proposed to quickly and accurately extract the majority of ellipses. For ellipses missed in the first step, candidate regions where each may contain one missed ellipse are extracted in the second step using cluster analysis, and then a HT based method is performed on these regions to extract the missed ellipses. This can not only guarantee the accuracy of the HT based method, but also save the memory and computation time. We test the performance of our method using both synthetic images and low SNR industrial images. Experimental results demonstrate that the proposed method performs far better than existing methods in terms of recall, precision, F-measure, and reliability. Especially in term of reliability, our method has achieved a very high value close to 1 while the reliabilities of state-of-the art methods are almost less than 0.5.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
关键词[WOS]RANDOMIZED HOUGH TRANSFORM ; ROBUST ; NOISE
WOS研究方向Computer Science ; Engineering
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20366
专题装备制造技术研究室
通讯作者Xia RB(夏仁波)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, No. 114, Nanta Road, Shenyang, Liaoning 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Chen SL,Xia RB,Zhao JB,et al. A hybrid method for ellipse detection in industrial images[J]. Pattern Recognition,2017,68:82-98.
APA Chen SL,Xia RB,Zhao JB,Chen YL,&Hu MB.(2017).A hybrid method for ellipse detection in industrial images.Pattern Recognition,68,82-98.
MLA Chen SL,et al."A hybrid method for ellipse detection in industrial images".Pattern Recognition 68(2017):82-98.
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