Texture fuzzy segmentation using adaptive affinity functions

Authors:
Bruno M. Carvalho;Tiago S. Souza;Edgar Garduño
Affiliations:
IMAGINA Laboratory, DIMAp - UFRN, Natal, Brazil;IMAGINA Laboratory, DIMAp - UFRN, Natal, Brazil;IIMAS, UNAM, Ciudad de Mexico, Mexico
Venue:
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Year:
2012

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Abstract

Digital image segmentation is the process of assigning distinct labels to different objects in a digital image, and the fuzzy segmentation algorithm has been used successfully in the segmentation of images from several modalities. However, the traditional fuzzy segmentation algorithm fails to segment objects that are characterized by textures whose patterns cannot be successfully described by simple statistics computed over a very restricted area. In this paper we present an extension of the fuzzy segmentation algorithm that achieves the segmentation of textures by employing adaptive affinity functions. The adaptive affinity functions change the size of the area (neighborhood) where they compute the texture descriptors, according to the characteristics of the texture being processed. We performed experiments on images from the Brodatz database as well as on a Synthetic Aperture Radar (SAR) image, showing the successful application of our method.