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

Authors:
M. Ceccarelli;A. Petrosino
Affiliations:
Universitá del Sannio, Via Port'Arsa 11, I-82100 Benevento, Italy;CPS, National Research Council, Complesso Monte S. Angelo, Via Cintia, I-80126 Naples, Italy
Venue:
Pattern Recognition Letters
Year:
2002

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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.