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Fuzzy Color Image Segmentation using Watershed Transform

Noël Richard1, Christine Fernandez-Maloigne 1, Cristian Bonanomi2, and Alessandro Rizzi 2
1. XLIM Laboratory, CNRS JUR 7252, University of Poitiers France
2. Dipartimento di Informatica, Università degli Studi di Milano, Italy

Abstract—In this paper, we present a segmentation technique which joins a multi-scale texture based approach and a fuzzy segmentation method using the color gradient of Di Zenzo. Thus maps of homogeneous texture patterns are enhanced by edge localization. A topographic distance is used to calculate membership degrees to each region. Both lead to segmentation using a step of watershed flooding, with few parameters to set. Moreover computation complexity has been reduced to allow treatments of images in full size and colors.

Index Terms—color image segmentation, fuzzy image segmentation, color watershed, color gradient, multi-scale texture segmentation

Cite: Noël Richard, Christine Fernandez-Maloigne, Cristian Bonanomi, and Alessandro Rizzi, "Fuzzy Color Image Segmentation using Watershed Transform," Journal of Image and Graphics, Vol. 1, No. 3, pp. 157-160, September 2013. doi: 10.12720/joig.1.3.157-160