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   Vol.E85-A   No.9   pp.2180-2183
Publication Date: 2002/09/01
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Image
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.