Zero-sum game theory model for segmenting skin regions
作者：
Highlights：
• A new skin pixels detection method based on a zero-sum game theory is presented.
• The proposed combination scheme can carry any number of classifiers.
• In the proposed game the skin and non-skin regions represent the players.
• The proposed utility function reduces significantly the false positives rate.
• The method can be well adapted to any binary classification conflict problems.
摘要
•A new skin pixels detection method based on a zero-sum game theory is presented.•The proposed combination scheme can carry any number of classifiers.•In the proposed game the skin and non-skin regions represent the players.•The proposed utility function reduces significantly the false positives rate.•The method can be well adapted to any binary classification conflict problems.
论文关键词：Skin detection,Color,Texture,Zero-sum game,Nash Equilibrium
论文评审过程：Received 9 May 2019, Revised 15 December 2019, Accepted 15 April 2020, Available online 30 April 2020, Version of Record 22 May 2020.
论文官网地址：https://doi.org/10.1016/j.imavis.2020.103925
