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.

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

CECCARELLI M;
2002

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/2188
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