A Novel Adaptive Level Set Segmentation Method
Joint Authors
Feng, Qianjin
Lin, Yazhong
Zheng, Qian
Chen, Jiaqiang
Cai, Qian
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The adaptive distance preserving level set (ADPLS) method is fast and not dependent on the initial contour for the segmentation of images with intensity inhomogeneity, but it often leads to segmentation with compromised accuracy.
And the local binary fitting model (LBF) method can achieve segmentation with higher accuracy but with low speed and sensitivity to initial contour placements.
In this paper, a novel and adaptive fusing level set method has been presented to combine the desirable properties of these two methods, respectively.
In the proposed method, the weights of the ADPLS and LBF are automatically adjusted according to the spatial information of the image.
Experimental results show that the comprehensive performance indicators, such as accuracy, speed, and stability, can be significantly improved by using this improved method.
American Psychological Association (APA)
Lin, Yazhong& Zheng, Qian& Chen, Jiaqiang& Cai, Qian& Feng, Qianjin. 2014. A Novel Adaptive Level Set Segmentation Method. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1016844
Modern Language Association (MLA)
Lin, Yazhong…[et al.]. A Novel Adaptive Level Set Segmentation Method. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1016844
American Medical Association (AMA)
Lin, Yazhong& Zheng, Qian& Chen, Jiaqiang& Cai, Qian& Feng, Qianjin. A Novel Adaptive Level Set Segmentation Method. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1016844
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016844