A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order
Joint Authors
Li, Yan
Zou, Qing-Hua
Chen, Wen-Sheng
Chen, Bo
Source
Advances in Mathematical Physics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
By summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established.
In this proposed model, the energy function with value of [−1, 1] is built, the local mean and global mean of the inside and outside of the evolution curve are employed, and the segmentation results are obtained by controlling the expansion and contraction of the evolution curve.
The model is simple and easy to implement; it can also protect weak edges because of considering more statistical information.
Experimental results on synthetic and natural images show that the proposed model is much more effective in dealing with the images with weak or blurred edges, and it takes less time.
American Psychological Association (APA)
Chen, Bo& Zou, Qing-Hua& Chen, Wen-Sheng& Li, Yan. 2013. A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order. Advances in Mathematical Physics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-476596
Modern Language Association (MLA)
Chen, Bo…[et al.]. A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order. Advances in Mathematical Physics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-476596
American Medical Association (AMA)
Chen, Bo& Zou, Qing-Hua& Chen, Wen-Sheng& Li, Yan. A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order. Advances in Mathematical Physics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-476596
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476596