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

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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.

论文关键词:Color segmentation,Split and merge,Edge-linking

论文评审过程:Received 12 December 1995, Accepted 17 January 1997, Available online 19 May 1998.

论文官网地址:https://doi.org/10.1016/S0262-8856(97)00019-X