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

  • Authors:
  • E. Saber;A. M. Tekalp;G. Bozdagi

  • Affiliations:
  • Dept. of Electr. Eng., Rochester Univ., NY, USA;-;-

  • Venue:
  • ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
  • Year:
  • 1996

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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.