• DocumentCode
    2827765
  • Title

    Joint region merging criteria for watershed-based image segmentation

  • Author

    Hernandez, Sergio E. ; Barner, Kenneth E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    10-13 Sept. 2000
  • Firstpage
    108
  • Abstract
    A new joint region merging criterion for watershed-based image segmentation is proposed. The method combines, in a weighted fashion, criteria based on region homogeneity and edge integrity, which have each been applied marginally with some relative success. However, those criteria have shown some significant drawbacks when applied separately. The new criterion takes joint advantage of these two methods, giving a final segmentation that is more visually appropriate. Additionally, a new nonlinear pre and post-filtering procedure is proposed for reducing the oversegmentation of the watershed algorithm. Experimental results are presented showing the advantages of the new merging criterion and the pre/post-filtering method.
  • Keywords
    filtering theory; image segmentation; edge integrity; joint region merging criterion; nonlinear post-filtering method; nonlinear pre-filtering method; oversegmentation reduction; region homogeneity; watershed-based image segmentation; Computational complexity; Filtering; Image converters; Image segmentation; Maximum likelihood detection; Merging; Nonlinear distortion; Nonlinear filters; Region 3; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC, Canada
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899239
  • Filename
    899239