Foreground/background segmentation of color images by integration of multiple cues

  • Authors:
  • Qian Huang;B. Dam;D. Steele;J. Ashley;W. Niblack

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
  • Year:
  • 1995

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Abstract

This research addresses the issue of automatically segmenting color images into foreground (F) and back-ground (B) regions with the assumption that background regions are relatively smooth but may have gradually varying colors or be slightly textured. A multi-level segmentation scheme is used that involves color clustering, unsupervised segmentation using MDL (minimum description length) principle, edge-based F/B separation, and integrated F/B segmentation. The approach has been tested on more than 100 images. Some of the experimental results are presented.