dc.contributor.author | Saber, Eli | |
dc.contributor.author | Tekalp, A. Murat | |
dc.contributor.author | Bozdagi, Gozde | |
dc.date.accessioned | 2009-04-08T14:49:40Z | |
dc.date.available | 2009-04-08T14:49:40Z | |
dc.date.issued | 1997-10 | |
dc.identifier.uri | http://hdl.handle.net/1850/8911 | |
dc.description | Copyright 1997 Elsevier. Image and vision computing article. Please see www.sciencedirect.com for more information. | en_US |
dc.description | RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/ | |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Image and vision computing, Elsevier | en_US |
dc.relation.ispartofseries | Vol. 15 | en_US |
dc.relation.ispartofseries | Issue 10 | en_US |
dc.subject | Color segmentation | en_US |
dc.subject | Edge-linking | en_US |
dc.subject | Split and merge | en_US |
dc.subject | Supersonic flow | en_US |
dc.title | Fusion of color and edge information for improved segmentation and edge linking | en_US |
dc.type | Article | en_US |