Segmentación de imágenes utilizando la Transformada Watershed: Obtención de marcadores mediante Lógica Difusa. (Image segmentation using Watershed Transform: Marker definition based on fuzzy logic.)

Mariela Azul Gonzalez (mazulgonzalez@fi.mdp.edu.ar), Virginia Laura Ballarin (vballari@fi.mdp.edu.ar)


Departamento de Ingeniería Electrónica de la Universidad Nacional de Mar del Plata
This paper appears in: Revista IEEE América Latina

Publication Date: June 2008
Volume: 6,   Issue: 2 
ISSN: 1548-0992


Abstract:
The Watershed Transform (W.T.) is a usefull morphological tool that allows to distinguish complex structures that can not be processed with image processing conventional algoriths. The W.T. floods the image gradient topography from its local minima. These minima indicates the zones where the flooding starts in order to segment the image. The final result is a labeled image where each pixel belongs to a unique region. Gradient of textured images have irrelevant local minima with low contrast. This results in image sobresegmentation in most of the cases. To avoid sobresegmentation, unique object markers are defined. Markers definition, when objects have different texture, size or shape, requires complex solution highly dependent on each particular aplication. This paper propose an automatic marker definition method for the Watershed Transform using a Mandami fuzzy inference system. The proposed method is simple, robust and easily adaptable to diferent type of images.

Index Terms:
Fuzzy Logic, Marker definition, Image segmentation, Watershed Transform   


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