Randomized circle detection with isophotes curvature analysis
作者：
Highlights：
• An iterative randomized circle detection algorithm is proposed.
• Curvature of isophotes is used to reduce the number of necessary iterations.
• Edges on circumference(s) are selected by a Kernel density estimation strategy.
• Sub-pixel accuracy was maintained on real images even in presence of high noise levels.
• Isophotes analysis reduces the influence of the used edge map on the results.
摘要
Highlights•An iterative randomized circle detection algorithm is proposed.•Curvature of isophotes is used to reduce the number of necessary iterations.•Edges on circumference(s) are selected by a Kernel density estimation strategy.•Sub-pixel accuracy was maintained on real images even in presence of high noise levels.•Isophotes analysis reduces the influence of the used edge map on the results.
论文关键词：Circle detection,Sampling strategy,Isophotes,Density estimation
论文评审过程：Received 22 August 2013, Revised 20 July 2014, Accepted 11 August 2014, Available online 20 August 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.08.007
