AUTOMATIC SEGMENTATION OF INTEREST REGIONS IN LOW DEPTH OF FIELD IMAGES USING ENSEMBLE CLUSTERING AND GRAPH CUT OPTIMIZATION APPROACHES: 2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA

G. Rafiee, S. S. Dlay, W. L. Woo

Research output: Contribution to conferencePaper

4 Citations (Scopus)
Original languageEnglish
Pages161-164
Number of pages4
DOIs
Publication statusPublished - 2012

Keywords

  • constraint handling
  • graph theory
  • image segmentation
  • image texture
  • multimedia computing
  • optimisation
  • pattern clustering
  • automatic interest region segmentation
  • field images
  • ensemble clustering
  • graph cut optimization approaches
  • automatic images segmentation
  • depth of field
  • DOF
  • content-based multimedia applications
  • cluster ensemble algorithm
  • hard constraint
  • max-flow method
  • busy-texture
  • Image segmentation
  • Clustering algorithms
  • Partitioning algorithms
  • Pattern analysis
  • Image color analysis
  • Multimedia communication
  • cluster ensemble
  • unsupervised segmentation
  • graph cut optimization
  • low depth-of-field image

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