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.
Fuzzy color image segmentation using watershed transform / N. Richard, C. Fernandez Maloigne, C. Bonanomi, A. Rizzi. - In: JOURNAL OF IMAGE AND GRAPHICS. - ISSN 2301-3699. - 1:3(2013 Sep), pp. 157-160. [10.12720/joig.1.3.157-160]
Fuzzy color image segmentation using watershed transform
C. Bonanomi;A. RizziPenultimo
2013
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.File | Dimensione | Formato | |
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