Comparative Review of Machine Learning and Deep Learning Techniques for Texture Classification
Shantanu Kumar, Amey Gupta · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems · 2022
In this paper, we present a review and analysis of different methods and resources for texture classification, presenting the most popular techniques that have been used in the past decade.The paper covers some of the most traditional approaches involving texture descriptors like Gray Level Co-occurrence Matrix and Gabor Filter Banks, to some of more recent approaches such as Convolutional Neural Network (CNN) and ScatNets.These methods are tested and their performance is evaluated on six standard datasets.