Medical images texture analysis: A review

Abstract

The abstract texture analysis is a popular compression test for finding texture properties of images. Above 35 IEEE research papers were reviewed related to texture analysis; papers were published in between 1992 to 2016. From those papers analyzed in depth and extracted common findings, strengths, weaknesses, gaps and also a comparison between suggested techniques. These suggested methods were used to compute a variety of texture features (parameters) based on image histogram, co-occurrence, and run-length matrices. In this paper, the problems of texture analysis such as segmentation, and classification were discussed. From this paper, the researcher will get an idea for their future work in texture analysis.