An Efficient Method for Texture Classification with Local Binary Pattern Based on Wavelet Transformation

摘要

In this paper, we present an efficient method for texture classification with local binary pattern based on wavelet transformation. We improve the Local Binary Pattern approach with Wavelet Transformation to propose the texture classification. We used four class of Brodatz textures data base for proposed method. Each class is divide to 64 texture image and then wavelet transformation is applied to each texture. After transformed texture from wavelet the feature extraction matrix is formation using LBP. We verify the other method and proposed method is very good and efficient for classification texture image.