Synergism in Low Level Vision

  • Authors:
  • Christopher M. Christoudias

  • Affiliations:
  • -

  • Venue:
  • ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
  • Year:
  • 2002

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Abstract

Guiding image segmentation with edge information is an often employed strategy in low level computer vision. To improve the trade-off between the sensitivity of homogeneous region delineation and the oversegmentation of the image, we have incorporated a recently proposed edge magnitude/confidencemap into a color image segmenter based on the mean shift procedure. The new method can recover regions with weak but sharp boundaries and thus can provide a more accurate input for high level interpretation modules. The Edge Detection and Image SegmentatiON (EDISON) system, available for download, implementsthe proposed technique and provides a complete toolbox for discontinuity preserving filtering, segmentation and edge detection.