Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2002-09-01

著者

• Asano A

  Hiroshima Univ. Higashi Hiroshima Jpn

• Endo Junichi

  The Faculty Of Integrated Arts And Sciences Hiroshima University:(present Address)the Graduate Schoo

• ASANO Akira

  The Faculty of Integrated Arts and Sciences, Hiroshima University

• MURAKI Chie

  The Research Institute for Radiation Biology and Medicine, Hiroshima University

• Muraki Chie

  The Research Institute For Radiation Biology And Medicine Hiroshima University

• Asano Akira

  The Faculty Of Integrated Arts And Sciences Hiroshima University

• ASANO Akira

  the Faculty of Informatics, Kansai University

関連論文

• Unsupervised Optimization of Nonlinear Image Processing Filters Using Morphological Opening / Closing Spectrum and Genetic Algorithm(Special Section on Intelligent Signal and Image Processing)
• Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution
• Multi-Structural Texture Analysis Using Mathematical Morphology

スポンサーリンク