Boundary refinements for wavelet-domain multiscale texture segmentation

Etai Mor, Mayer Aladjem

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We propose a method based on the Hidden Markov Tree (HMT) model for multiscale image segmentation in the wavelet domain. We use the inherent tree structure of the model to segment the image at a range of different scales. We then merge these different scale segmented images using boundary refinement conditions. The final segmented image utilizes the reliability of coarse scale segmented images and the fineness of finer scales segmented images. We demonstrate the performance of the algorithm on synthetic data and aerial photos.

Original languageEnglish
Pages (from-to)1150-1158
Number of pages9
JournalImage and Vision Computing
Volume23
Issue number13
DOIs
StatePublished - 29 Nov 2005

Keywords

  • Boundary refinements
  • Hidden Markov models
  • Texture segmentation
  • Wavelets

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition

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