Texture Classification Method using Wavelet Transforms Based on Gaussian Markov Random Field
M. Radhika Mani, Kambagowni Venkata Subbaiah · 2010
The problem of texture classification arises in several disciplines such as remote sensing, computer vision, and image analysis. The present paper presents a feature extraction method for the classification of textures using GMRF model on linear wavelets. The Seven features are extracted using least square error estimation method on third order markov neighborhood. The experimental results on various textures using different one level wavelet transform clearly indicate the efficiency of the proposed method.