Biological image classification using rough-fuzzy artificial neural network

作者：

Highlights：

• We propose an inference mechanism to classify biological samples (wood) through it images.

• We construct characteristic vectors using fuzzy rules to represent these images.

• We use rough set to select the main features from the characteristic vector.

• An artificial neural network is trained to classify the images.

摘要

•We propose an inference mechanism to classify biological samples (wood) through it images.•We construct characteristic vectors using fuzzy rules to represent these images.•We use rough set to select the main features from the characteristic vector.•An artificial neural network is trained to classify the images.

论文关键词：Image identification,Feature selection,Rough sets,Fuzzy sets,Artificial neural network

论文评审过程：Received 9 January 2014, Revised 15 September 2014, Accepted 29 July 2015, Available online 7 August 2015, Version of Record 27 September 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.075