A parallel fuzzy scale-space approach to the unsupervised texture separation

Michele Ceccarelli, A. Petrosino

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper we consider the problem of unsupervised boundary localization in textured images reporting a parallel texture separation algorithm which extracts textural density gradients by a nonlinear multiple scale-space analysis of the image. The scale-space analysis is modeled by a differential morphological filter, and texture boundaries are extracted by segmenting the images resulting from a multiscale fuzzy gradient operation applied to the detail images, which are the differences between images at successive scales. Experiments and comparisons on Brodatz real textures are reported.

Original languageEnglish
Pages (from-to)557-567
Number of pages11
JournalPattern Recognition Letters
Volume23
Issue number5
DOIs
Publication statusPublished - 1 Mar 2002
Externally publishedYes

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Keywords

  • Fuzzy gradient
  • Nonlinear scale space
  • Texture separation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

A parallel fuzzy scale-space approach to the unsupervised texture separation. / Ceccarelli, Michele; Petrosino, A.

In: Pattern Recognition Letters, Vol. 23, No. 5, 01.03.2002, p. 557-567.

Research output: Contribution to journalArticle

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