A NEW METHOD FOR TEXTURE ANALYSIS USING MORPHOLOGICAL GRADIENT TEXTURE HISTOGRAMS

摘要

A new method using Morphological Gradients, which measures the degree of roughness of image surface, is proposed for texture analysis. In this method, the local texture feature for a given pixel is characterized by its corresponding morphological gradient, and the global texture aspect of an image, denoted the Morphological Gradient Texture Histogram (MGTH), is used as a distinguishing feature for texture analysis and classification. To evaluate the performance of the proposed method, supervised texture classification and rotated texture classification are applied. Experimental results reveal high ac-curacy classification rates and show that the proposed method is a good tool for texture analysis.