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New Region-Scalable Discriminant and Fitting Energy Functional for Driving Geometric Active Contours in Medical Image Segmentation
Joint Authors
Wang, Xuchu
Tan, Liwen
Niu, Yanmin
Zhang, Shao-Xiang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We propose a novel region-based geometric active contour model that uses region-scalable discriminant and fitting energy functional for handling the intensity inhomogeneity and weak boundary problems in medical image segmentation.
The region-scalable discriminant and fitting energy functional is defined to capture the image intensity characteristics in local and global regions for driving the evolution of active contour.
The discriminant term in the model aims at separating background and foreground in scalable regions while the fitting term tends to fit the intensity in these regions.
This model is then transformed into a variational level set formulation with a level set regularization term for accurate computation.
The new model utilizes intensity information in the local and global regions as much as possible; so it not only handles better intensity inhomogeneity, but also allows more robustness to noise and more flexible initialization in comparison to the original global region and regional-scalable based models.
Experimental results for synthetic and real medical image segmentation show the advantages of the proposed method in terms of accuracy and robustness.
American Psychological Association (APA)
Wang, Xuchu& Niu, Yanmin& Tan, Liwen& Zhang, Shao-Xiang. 2014. New Region-Scalable Discriminant and Fitting Energy Functional for Driving Geometric Active Contours in Medical Image Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-465543
Modern Language Association (MLA)
Wang, Xuchu…[et al.]. New Region-Scalable Discriminant and Fitting Energy Functional for Driving Geometric Active Contours in Medical Image Segmentation. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-465543
American Medical Association (AMA)
Wang, Xuchu& Niu, Yanmin& Tan, Liwen& Zhang, Shao-Xiang. New Region-Scalable Discriminant and Fitting Energy Functional for Driving Geometric Active Contours in Medical Image Segmentation. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-465543
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465543