A novel visual codebook model based on fuzzy geometry for large-scale image classification

作者：

Highlights：

• This paper aims to overcome the drawbacks of traditional visual words.

• Fuzzy visual word and fuzzy feature are defined using n-dimensional fuzzy geometry.

• A new similarity measure between fuzzy features and fuzzy visual words is designed.

• Two modified image classification frameworks based on Fuzzy codebook are proposed.

• Experimental results demonstrated their advantages against traditional algorithms.

摘要

•This paper aims to overcome the drawbacks of traditional visual words.•Fuzzy visual word and fuzzy feature are defined using n-dimensional fuzzy geometry.•A new similarity measure between fuzzy features and fuzzy visual words is designed.•Two modified image classification frameworks based on Fuzzy codebook are proposed.•Experimental results demonstrated their advantages against traditional algorithms.

论文关键词：Codebook,Fuzzy geometry,Fuzzy set theory,Image classification

论文评审过程：Received 1 October 2014, Revised 12 January 2015, Accepted 16 February 2015, Available online 4 March 2015, Version of Record 17 June 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.010