Wavelet Based Histogram Method for Classification of Textures

To achieve high accuracy in classification the present paper proposes a new method on texton pattern detection based on wavelets. Each texture analysis method depends upon how the selected texture features characterizes image. Whenever a new texture feature is derived it is tested whether it precisely classifies the textures. Here not only the texture features are important but also the way in which they are applied is also important and significant for a crucial, precise and accurate texture classification and analysis. That is the reason the present paper applied the derived a new method called Wavelet based Histogram on Texton Patterns (WHTP). So far no exhaustive work was carried out in the wavelet domain for classification of textures, based on histogram of texton pattern extraction. This is the principal motivation for the work done in this paper. The proposed WHTP method is tested on stone textures for precise classification.The proposed texton pattern detection evaluates the relationship between the values of neighboring pixels in the wavelet domain. The experimental results on various stone textures indicate the efficacy of the proposed method when compared to other methods.