Texture Characterization and Texture-Based Image Partitioning Using Two-Dimensional Linear Estimation Techniques

Koichiro Deguchi, Iwao Morishita

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

A new approach to texture characterization and texture-based image partitioning is presented. In this approach the gray level of each pixel of an image is estimated from a weighted sum of gray levels of its neighbor pixels. The weight coefficients are determined so that the mean square estimation error is minimized. The obtained two-dimensional estimator characterizes the texture of the sample and canbe-used to discriminate other classes of textures. This texture characterization technique is applied to image partitioning, and two partitioning procedures are developed. Experimental results obtained by their application are also shown.

Original languageEnglish
Pages (from-to)739-745
Number of pages7
JournalIEEE Transactions on Computers
VolumeC-27
Issue number8
DOIs
Publication statusPublished - 1978 Aug

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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