Texture feature extraction approach using co-occurrence matrix
Gang Zhang · Shenyang Gongye Daxue xuebao · 2010
Co-occurrence matrix is one of commonly used approaches for texture feature extraction.A novel approach to extract texture features using co-occurrence matrix was presented in order to reduce the effect of noise and entity direction change.Fourier transform was used for original image,and the frequency domain information was used to determine the dominant direction set.Co-occurrence matrix was used for the dominant direction set to extract texture features.At matching stage of image,the similarity calculation was carried out between the dominant direction sets.Then the similarity calculation was performed between the texture feature vectors,where the dominance of elements in the sets was introduced as weight.The experimental results show that the proposed approach has better performance for both directional textures and non-directional textures than co-occurrence matrix.