Paper Title:
Image Segmentation Using Binary Level Set Method Based on Region-Based GAC Model
  Abstract

A new Region-based GAC (geodesic active contour) model was presented, which is the improvement of traditional GAC model. A new region-based signed pressure forces function was presented, which takes the place of the edge stopping function, and can efficiently solve the problem of segmentation of objects with weak edges or without edges. The model is implemented by level set method with a binary level set function to reduce the expensive computational cost of re-initialization of the traditional level set function. The proposed algorithm has been applied to images of different modalities with promising results, which are better than that of traditional GAC model and C-V model.

  Info
Periodical
Key Engineering Materials (Volumes 480-481)
Edited by
Yanwen Wu
Pages
1206-1209
DOI
10.4028/www.scientific.net/KEM.480-481.1206
Citation
G. Ren, X. Q. Cao, W. M. Pan, Y. Yang, "Image Segmentation Using Binary Level Set Method Based on Region-Based GAC Model", Key Engineering Materials, Vols. 480-481, pp. 1206-1209, 2011
Online since
June 2011
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Price
$32.00
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