Authors : S.S. Sreejamole and L. Ganesan
Abstract: Texture is an important spatial feature, useful for identifying objects or regions of interest in an image. The gray-level co-occurrence matrix approach is one of the most popular statistical methods used in practice to measure the textural information of images. Based on the proposed concept of texture unit, this study describes the local binary pattern, texture spectrum and entropy approach. In this method, the local texture in formation for a given pixel and its neighborhood is characterized by the corresponding texture unit and the global textural aspect of an image is revealed by its texture spectrum. The proposed method extracts the textural information of an image with a more complete respect of texture characteristics. A preliminary evaluation study demonstrates the potential usefulness of the proposed methods for texture analysis.
S.S. Sreejamole and L. Ganesan , 2009. Supervised Classification of Images using Textural Features. International Journal of Soft Computing, 4: 122-126.