Self noise and contrast controlled thinning of gray images
作者：
Highlights：
• Review of thinning methods including gray parametric thinning.
• Ability to separate self-image noise and contrast impact on parametric thinning setting.
• Standardization of the setting through the use of statistical test framework.
• Assessment protocol of gray thinning methods based on mandatory properties.
• High performance of our method regarding homotopy and extremity preservation properties.
摘要
Highlights•Review of thinning methods including gray parametric thinning.•Ability to separate self-image noise and contrast impact on parametric thinning setting.•Standardization of the setting through the use of statistical test framework.•Assessment protocol of gray thinning methods based on mandatory properties.•High performance of our method regarding homotopy and extremity preservation properties.
论文关键词：Thinning,Homotopy,Noise,Contrast,Statistical hypothesis test,Fusion,Evaluation
论文评审过程：Received 26 January 2015, Revised 23 March 2016, Accepted 30 March 2016, Available online 12 April 2016, Version of Record 6 May 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.03.033
