Fusion of color and edge information for improved segmentation and edge linking

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Title: Fusion of color and edge information for improved segmentation and edge linking
Author: Saber, Eli; Tekalp, A. Murat; Bozdagi, Gozde
Abstract: We propose a new method for combined color image segmentation and edge linking. The image is first segmented based on color information only. The segmentation map is modeled by a Gibbs random field, to ensure formation of spatially contiguous regions. Next, spatial edge locations are determined using the magnitude of the gradient of the 3-channel image vector field. Finally, regions in the segmentation map are split and merged by a region-labeling procedure to enforce their consistency with the edge map. The boundaries of the final segmentation map constitute a linked edge map. Experimental results are reported.
Description: Copyright 1997 Elsevier. Image and vision computing article. Please see www.sciencedirect.com for more information.RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/
Record URI: http://hdl.handle.net/1850/8911
Date: 1997-10

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