.png){kind=icon}
返回
Connectivity-based multiple-circle fitting
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2003.08.008.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a connectivity-based method for circle fitting. The use of pixel connectivity effectively avoids false circle detection, improves the robustness against noise and significantly reduces the computational load. The desired circular models are extracted by searching for meaningful circular arcs. The algorithm does not require a good initial guess, and is effective for extracting an a priori unknown number of circles even when the number of outliers exceeds 50%. The experimental results demonstrate that the proposed method performs well in detecting multiple intersecting or occluded circles. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
circle detection
pixel connectivity
robustness
least-squares method
outlier
validity criterion
hough transform
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
暂无机构信息
引用论文
Accelerated Weathering and Soil Burial Effect on Biodegradability, Colour and Textureof Coir/Pineapple Leaf Fibres/PLA Biocomposites.png)
Polymers
OAAI
PolymersIF0
OAAI分享收藏分享收藏 没有更多内容
没有更多内容