The Kolmogorov–Sinai entropy in the setting of fuzzy sets for image texture analysis and classification

作者：

Highlights：

• Development of a new method for feature extraction using chaos and fuzzy sets.

• Modeling Kolmogorov–Sinai (K–S) entropy with fuzzy logic is feasible.

• Fuzzy K–S entropy is an effective feature for analysis and classification of textural images.

摘要

Highlights•Development of a new method for feature extraction using chaos and fuzzy sets.•Modeling Kolmogorov–Sinai (K–S) entropy with fuzzy logic is feasible.•Fuzzy K–S entropy is an effective feature for analysis and classification of textural images.

论文关键词：Chaos,Kolmogorov–Sinai entropy,Fuzzy sets,Uncertainty,Texture analysis,Image classification

论文评审过程：Received 3 September 2014, Revised 17 December 2015, Accepted 19 December 2015, Available online 29 December 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.012