Rough fuzzy computing for unsupervised image segmentation

Michele Ceccarelli, Alfrede Petrosino

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper we consider the problem of unsupervised boundary localization in textured images, reporting a texture separation algorithm which extracts textural density gradients by a non-linear multiple scale-space analysis of the image. Texture boundaries are extracted by segmenting the images resulting from a multiscale fuzzy gradient operation applied to detail images. The segmentation stage consists of a parallel hierarchical clustering algorithm, aimed at the minimization of a global cost functional taking into account region homogeneity and segmentation quality. Experiments on Brodatz textures and real images are reported.

Original languageEnglish
Title of host publicationAdvances in Physics, Electronics and Signal Processing Applications
PublisherWorld Scientific and Engineering Academy and Society
Pages144-147
Number of pages4
ISBN (Print)9608052173
Publication statusPublished - 1 Dec 2000
Externally publishedYes

Fingerprint

Image segmentation
Textures
Clustering algorithms
Experiments

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ceccarelli, M., & Petrosino, A. (2000). Rough fuzzy computing for unsupervised image segmentation. In Advances in Physics, Electronics and Signal Processing Applications (pp. 144-147). World Scientific and Engineering Academy and Society.

Rough fuzzy computing for unsupervised image segmentation. / Ceccarelli, Michele; Petrosino, Alfrede.

Advances in Physics, Electronics and Signal Processing Applications. World Scientific and Engineering Academy and Society, 2000. p. 144-147.

Research output: Chapter in Book/Report/Conference proceedingChapter

Ceccarelli, M & Petrosino, A 2000, Rough fuzzy computing for unsupervised image segmentation. in Advances in Physics, Electronics and Signal Processing Applications. World Scientific and Engineering Academy and Society, pp. 144-147.
Ceccarelli M, Petrosino A. Rough fuzzy computing for unsupervised image segmentation. In Advances in Physics, Electronics and Signal Processing Applications. World Scientific and Engineering Academy and Society. 2000. p. 144-147
Ceccarelli, Michele ; Petrosino, Alfrede. / Rough fuzzy computing for unsupervised image segmentation. Advances in Physics, Electronics and Signal Processing Applications. World Scientific and Engineering Academy and Society, 2000. pp. 144-147
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