Name
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. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S0262-8856(97)00019-X | Image and Vision Computing |
Keywords | DocType | Volume |
edge map,edge-linking,spatial edge location,color information,final segmentation map,color segmentation,segmentation map,edge information,combined color image segmentation,3-channel image vector field,improved segmentation,gibbs random field,new method,split and merge,random field,data mining,manufacturing,spatial resolution,vector field,computer vision,edge detection,random processes,object recognition,image segmentation,bayesian methods | Journal | 15 |
Issue | ISSN | ISBN |
10 | Image and Vision Computing | 0-7803-3192-3 |
Citations | PageRank | References |
66 | 7.29 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| eli saber | 1 | 66 | 7.29 |
| A Murat Tekalp | 2 | 1893 | 201.68 |
| G. Bozdagi | 3 | 221 | 21.93 |