Texture image classification using scale invariant feature transform (SIFT) method.

This paper studies one of the important structural methods in the classification of texture images, which is scale-invariant feature transform (SIFT), where the Brodatz database was used as sample images to test the proposed algorithm. The k-mean classifier and the frequency density function are used to classify the images based on classifying the obtained feature pointsﻭ where an analysis of the proposed classification algorithm is presented. The results confirmed the possibility of the proposed algorithm in classifying histological images. [ABSTRACT FROM AUTHOR]