Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution

摘要

A novel method for the primitive description of the multiprirnitive 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.