Classification of Brodatz Dataset Samples (36-64) Through Second-Order Statistical Parameters (B)

Abstract

In this research paper, we have extended the approach of evaluating the texture features of the Brodatz dataset for the samples varying from 36-64. Here we have mathematically analyzed the texture visual features for the Brodatz dataset since we are aware of the fact that "contrast, correlation, energy, and homogeneity" are considered as the texture features which can affect human vision, so we have calculated the values of the features of texture feature for visual parameters only. As a result, we have obtained information about the samples which has reached the maximum and minimum feature value. Here we have also shown the grey level images of the dataset.

Keywords: Texture features, Brodatz dataset, Second-order statistics, Texture visual features, Grey levels