A Comparison of Matrix Texture Features Using a Maximum Likelihood Texture Classifier
Jon R. Berry, John I. Goutsias · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
The performance of various matrix features in classifying synthetic and natural textures is compared by using the features directly in a maximum likelihood texture classifier (MLTC). The matrix texture features under consideration include the spatial gray level dependence matrix (SGLDM), the neighboring gray level dependence matrix (NGLDM) and the neighboring spatial gray level dependence matrix (NSGLDM). By adopting the MLTC we avoid the various problems associated with the use of scalar features extracted from the matrices under consideration, while we obtain excellent classification results.