Multi-region texture image segmentation based on constrained level-set evolution functions

Asaad F. Said, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A multi-region texture image segmentation method based on level-set is proposed in this paper. In the proposed method, each region is represented by one level-set function and these functions evolve simultaneously based on a constraint. The constraint is used to keep a balance between competing regions and to guarantee disjoint and non-overlapping regions. To speed up the curve evolution functions and to prevent them from getting stuck at undesired points, a region competition factor is applied. Edge- and edgeless-based active contours are applied in the proposed method to improve the robustness and the accuracy of the segmentation. The proposed multi-region texture segmentation method is fast and less sensitive to initializations as compared with existing techniques. Different segmentation examples are presented to illustrate the performance of the proposed method.

Original languageEnglish (US)
Title of host publication2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
Pages664-668
Number of pages5
DOIs
StatePublished - Apr 8 2009
Event2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009 - Marco Island, FL, United States
Duration: Jan 4 2009Jan 7 2009

Publication series

Name2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings

Other

Other2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009
CountryUnited States
CityMarco Island, FL
Period1/4/091/7/09

Keywords

  • And regions competition
  • Constrained curve evolution
  • Multiphase
  • Multiregion level-set-based segmentation
  • Texture segmentation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Said, A. F., & Karam, L. (2009). Multi-region texture image segmentation based on constrained level-set evolution functions. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings (pp. 664-668). [4786006] (2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings). https://doi.org/10.1109/DSP.2009.4786006