1 November 1989 A Comparison of Matrix Texture Features Using a Maximum Likelihood Texture Classifier
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Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970043
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon R. Berry, John Goutsias, "A Comparison of Matrix Texture Features Using a Maximum Likelihood Texture Classifier", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970043; https://doi.org/10.1117/12.970043
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