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
Copyright © 2012-2020 Journal of Image and Graphics, All Rights Reserved