Fuzzy homogeneity measures for path-based colour image segmentation
by J. Chamorro-Martinez, D. Sanchez, B. Prados-Suarez, E. Galan-Perales
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 1, No. 3/4, 2006

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.

Online publication date: Thu, 01-Jun-2006

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