Texture segmentation using a diffusion region growing technique

Todd R. Reed*, Harry Wechsler, Michael Werman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In this paper we consider the segmentation of textured images using a diffusion region growing method. This method is able to grow several separate (but similar) regions simultaneously, and is very well suited to parallel implementation. Recent research, both in computer and human vision, suggests the use of spatial/spatial-frequency (s/sf) image representations as the basis for such tasks. The representation we have used is an approximation to the Wigner distribution, an s/sf representation that has recently been suggested as corresponding to the early and preattentive stage of visual processing. Experimental results on both synthesized and natural textures are shown.

Original languageAmerican English
Pages (from-to)953-960
Number of pages8
JournalPattern Recognition
Volume23
Issue number9
DOIs
StatePublished - 1990

Keywords

  • Diffusion
  • Region growing
  • Spatial/spatial-frequency (s/sf) representations
  • Texture segmentation
  • Wigner distribution

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