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[CGM+02]  Synergism in Low Level Vision

Chritoudias:2002:SLL (In proceedings)
Author(s)Christoudias C., Georgescu B. and Meer P.
Title« Synergism in Low Level Vision »
InProceedings of the 16th International Conference on Pattern Recognition (ICPR'02)
Volume4
Page(s)150--156
Year2002
PublisherIEEE Computer Society
AddressLos Alamitos, CA

BibTeX code
@inproceedings{Chritoudias:2002:SLL,
  opteditor = {},
  optnote = {},
  optorganization = {},
  author = {Christopher M. Christoudias and Bogdan Georgescu and Peter Meer},
  optkey = {},
  optannote = {},
  optseries = {},
  address = IEEEAdr,
  localfile = {papers/Christoudias.2002.SLL.pdf},
  publisher = IEEEPub,
  doi = {http://dx.doi.org/10.1109/ICPR.2002.1047421},
  optmonth = {},
  opturl = {},
  volume = {4},
  optcrossref = {},
  booktitle = {Proceedings of the 16th International Conference on Pattern
               Recognition (ICPR'02)},
  optabstract = {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,
                 implements the proposed technique and provides a complete
                 toolbox for discontinuity preserving filtering, segmentation
                 and edge detection. },
  optstatus = {address url doi},
  optnumber = {},
  title = {{S}ynergism in {L}ow {L}evel {V}ision},
  year = {2002},
  pages = {150--156},
}

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