Abstract
A decision theory method (DTM) is presented for the analysis of texture. It is based on the principles of statistical decision theory. This method, combined with other procedures described, is versatile enough to deal with a wide range of problems involving either statistical or structural textures. Its ability to perform scene segmentation using textural information, and edge/border detection, and to provide discrimination/recognition of both spatially and chromatically textured scenes is demonstrated with examples. Generation of 2D filters that act as textural feature detectors is illustrated with the help of interval covering theory.
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McCormick, B.H., Jayaramamurthy, S.N. A decision theory method for the analysis of texture. International Journal of Computer and Information Sciences 4, 1–38 (1975). https://doi.org/10.1007/BF00976216
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DOI: https://doi.org/10.1007/BF00976216