Fuzzy Image Segmentation based upon Hierarchical Clustering



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Gómez, D. and Yáñez, Javier and Guada, Carely and Rodríguez, Juan Tinguaro and Montero, Javier (2015) Fuzzy Image Segmentation based upon Hierarchical Clustering. Knowledge-Based Systems . ISSN 0950-7051 (In Press)

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Official URL: http://www.sciencedirect.com/science/article/pii/S0950705115002713


In this paper we introduce the concept of Fuzzy Image Segmentation, providing an algorithm to build fuzzy boundaries based on the existing relations between the fuzzy boundary set problem and the (crisp) hierarchical image segmentation problem. In particular, since a crisp image segmentation can be characterized in terms of the set of edges that separates the adjacent regions of the segmentation, from these edges we introduce the concept of fuzzy image segmentation. Hence,each fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which can be then understood as the fuzzy boundary of the image. Some computational experiences are included in order to show the obtained fuzzy boundaries of some digital images.

Item Type:Article
Uncontrolled Keywords:Fuzzy set; Image segmentation; Hierarchical segmentation; Graph-based segmentation.
Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:32648
Deposited On:28 Jul 2015 07:36
Last Modified:01 Dec 2017 00:01

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