Image Segmentation Using Binary Level Set Method Based on Region-Based GAC Model

Abstract:

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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 et al., "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:

$35.00

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