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Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution
Akira ASANO Junichi ENDO Chie MURAKI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2002/09/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
texture analysis, cluster analysis, size distribution, mathematical morphology,
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A novel method for the primitive description of the multiprimitive texture is proposed. This method segments a texture by the watershed algorithm into fragments each of which contains one grain. The similar fragments are grouped by the cluster analysis in the feature space whose basis is the morphological size density. Each primitive is extracted as the grain of the central fragment in each cluster.