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Scale space segmentation of color images using watersheds and fuzzy region merging

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 13 Nov 2002 Belgium Publisher:IEEEJournal:Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), volume 1, pages 734-737

Authors: Makrogiannis, Socrates; Vanhamel, Iris; Fotopoulos, Spyros; Sahli, Hichem;

doi: 10.1109/icip.2001.959150

handle: 20.500.14017/b9281cb9-00d7-4f1b-9773-d89751d1b6c5

Scale space segmentation of color images using watersheds and fuzzy region merging

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Abstract

A multi-resolution segmentation approach for color images is proposed. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employed to produce the regions in each scale. The dynamics of contours and the relative entropy of color region distribution are estimated as region dissimilarity features across the scale-space stack, and combined using a fuzzy rule based system. A minima-linking process by downward projection is carried out and subsequently the region dissimilarity, combining color, scale and homogeneity is estimated for the finer scale (localization scale). The final segmentation is derived using a previously presented merging process. To validate its performance qualitative and quantitative results are provided.

Country

Belgium

Related Organizations

University of Patras
Greece
Vrije Universiteit Brussel
Belgium

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
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