Unsupervised Joint Image Denoising and Active Contour Segmentation in Multidimensional Feature Space
Joint Authors
Ge, Qi
Jing, Xiao-Yuan
Wu, Fei
Yan, Jingjie
Li, Hai-Bo
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We describe a new method for simultaneous image denoising and level set-based active contour segmentation using multidimensional features.
We consider an image to be a surface embedded in a Riemannian manifold.
By defining a metric in the embedded space, which in our case includes multidimensional image features as well as a level set-based active contour model, a minimization problem in the image space can be obtained through the Polyakov action framework.
The resulting minimization problem is solved with a dual algorithm for efficiency.
Benefits of this new method include the fact that it is independent of any artificial “running” parameters, and experiments using both synthetic and real images show that the method is robust with respect to noise and blurry object boundaries.
American Psychological Association (APA)
Ge, Qi& Jing, Xiao-Yuan& Wu, Fei& Yan, Jingjie& Li, Hai-Bo. 2016. Unsupervised Joint Image Denoising and Active Contour Segmentation in Multidimensional Feature Space. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112111
Modern Language Association (MLA)
Ge, Qi…[et al.]. Unsupervised Joint Image Denoising and Active Contour Segmentation in Multidimensional Feature Space. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112111
American Medical Association (AMA)
Ge, Qi& Jing, Xiao-Yuan& Wu, Fei& Yan, Jingjie& Li, Hai-Bo. Unsupervised Joint Image Denoising and Active Contour Segmentation in Multidimensional Feature Space. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112111