Classification of seven Iranian wheat varieties using texture features

作者：

Highlights：

• Classification of wheat varieties using image processing.

• Extraction of texture feature using GLCM, GLRM and LBP algorithms.

• The unsupervised classification results confirmed by supervised methods.

• The features extracted from the GLRM algorithm had the best results by SVM model.

摘要

•Classification of wheat varieties using image processing.•Extraction of texture feature using GLCM, GLRM and LBP algorithms.•The unsupervised classification results confirmed by supervised methods.•The features extracted from the GLRM algorithm had the best results by SVM model.

论文关键词：Image processing,Texture,Feature,Feature selection,Classification,Modeling

论文评审过程：Received 3 May 2021, Revised 10 March 2022, Accepted 27 March 2022, Available online 29 March 2022, Version of Record 7 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117014