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A fast level set method for segmentation of low contrast noisy biomedical images
Source Pattern Recognition Letters archive Volume 23 , Issue 1-3 (January 2002) table of contents
Pages: 161 - 169
Year of Publication: 2002
ISSN:0167-8655
Authors Jiangwen Deng Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
H. T. Tsui Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
Publisher Elsevier Science Inc. New York, NY, USA
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DOI Bookmark: 10.1016/S0167-8655(01)00113-1
ABSTRACT This paper presents a new fast front propagation algorithm for image segmentation. To approximate the partial differential equation (PDE) in level set algorithm, instead of moving the front in a small constant time step, the point with a minimum arrival time will be touched in one iteration. Only in a neighbourhood of this point, should the level set function be updated. Like the previously proposed level set methods, it is a robust method for image segmentation with capabilities to handle topological changes, significant protrusions and narrow regions. It is faster than the narrow band algorithm and more robust than the monotonically advancing scheme in image segmentation. The effectiveness and the capabilities of the algorithm were verified by simulated and real experiments.