Fuzzy homogeneity measures for path-based colour image segmentation

Authors:
J. Chamorro-Martinez;D. Sanchez;B. Prados-Suarez;E. Galan-Perales
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain.;Department of Computer Science and Artificial Intelligence, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain.;Department of Computer Science and Artificial Intelligence, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain.;Department of Computer Science and Artificial Intelligence, University of Granada, C/Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2006

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Abstract

In this paper we propose a set of measures to model the concept of homogeneity in path-based image segmentation. We introduce the idea of path homogeneity as the aggregation of resemblances between consecutive pixels in the path. This resemblance is obtained from a measure of resemblance between neighbour pixels. In order to aggregate these resemblance values we propose the use of certain families of t-norms that verify a set of intuitive properties. We have studied the performance and behaviour of these functions through a set of experiments. Finally, we have applied these proposals to obtain fuzzy segmentations from real images.