Obtain important grayscale informat

Obtain important grayscale information from images and study texture capabilities. Texture analysis is used in many active fields and the texture analysis methods for various problems are very similar, but the application of the texture information obtained is very different. This includes texture classification, texture segmentation, texture compression, and texture composition. The biggest challenge in classifying textures is getting texture features. How to minimize differences by extracting features from texture images obtained from different light sources and angles Class Difference and Maximum Difference Between Classes.