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Narrow Band Region-Based Active Contours Model for Noisy Color Image Segmentation
Joint Authors
Xie, Xiaomin
Zhang, Aijun
Wang, Changming
Meng, Xiangfei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A narrow band active contour model for color image segmentation is proposed, which applies local statistics to improve the robustness against noise.
The crux of our approach is to use intensity mean of local region to define the force function within a level set framework, within which a narrow band is implemented to further improve the computational efficiency.
In addition, the image is segmented from channel-to-channel, which shows superior performance when the intensities of the object and background are similar.
Furthermore, a multichannel segmentation combination method is used to integrate the information of multiple level sets.
The proposed model has been applied to both synthetic and real images with expected results, and the comparison with the state-of-the-art approaches demonstrates the accuracy and superiority of our approach.
American Psychological Association (APA)
Xie, Xiaomin& Zhang, Aijun& Wang, Changming& Meng, Xiangfei. 2014. Narrow Band Region-Based Active Contours Model for Noisy Color Image Segmentation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049157
Modern Language Association (MLA)
Xie, Xiaomin…[et al.]. Narrow Band Region-Based Active Contours Model for Noisy Color Image Segmentation. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049157
American Medical Association (AMA)
Xie, Xiaomin& Zhang, Aijun& Wang, Changming& Meng, Xiangfei. Narrow Band Region-Based Active Contours Model for Noisy Color Image Segmentation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049157
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049157