Multi-threshold level set model for image segmentation

Authors:
Chih-Yu Hsu;Chih-Hung Yang;Hui-Ching Wang
Affiliations:
Department of Information & Communication Engineering, ChaoYang University of Technology, Taichung, Taiwan;Department of Applied Mathematics, National Chung-Hsing University, Taichung, Taiwan;Department of Applied Mathematics, National Chung-Hsing University, Taichung, Taiwan
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Year:
2010

Citing 17
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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.