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  • Research Article
  • Open Access

Multi-Threshold Level Set Model for Image Segmentation

EURASIP Journal on Advances in Signal Processing20102010:950438

https://doi.org/10.1155/2010/950438

  • Received: 1 December 2009
  • Accepted: 8 March 2010
  • Published:

Abstract

A multi-threshold level set model for image segmentations is presented in the paper. The Multi-threshold level set formulation uses a speed function for stopping the locations of the active contours. The speed function with multiple thresholds is designed for detecting boundaries of multiple regions of interest (ROI) in images. These thresholds can be automatically obtained by Fuzzy C-means method. The experimental results show that the proposed method is able to capture boundaries of multiple regions of interest.

Keywords

  • Information Technology
  • Quantum Information
  • Image Segmentation
  • Active Contour
  • Full Article

Publisher note

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Authors’ Affiliations

(1)
Department of Information & Communication Engineering, ChaoYang University of Technology, 168 Jifeng E. Rd., Wufeng, Taichung, 41349, Taiwan
(2)
Department of Applied Mathematics, National Chung-Hsing University, 250 Kuo Kuang Rd., Taichung, 40227, Taiwan

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