Synergism in low level vision

Christopher M. Christoudias, Bogdan Georgescu, Peter Meer

Research output: Contribution to journalArticlepeer-review

161 Scopus citations


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/confidence map 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, implements the proposed technique and provides a complete toolbox for discontinuity preserving filtering, segmentation and edge detection.

Original languageEnglish (US)
Pages (from-to)150-155
Number of pages6
JournalProceedings - International Conference on Pattern Recognition
Issue number4
StatePublished - 2002

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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