Adaptive Regularized Level Set Method for Weak Boundary Object Segmentation
Joint Authors
Zhan, Yi
Li, Meng
He, Chuanjiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-10
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
An adaptive regularized level set method for image segmentation is proposed.
A weighted p(x)-Dirichlet integral is presented as a geometric regularization on zero level curve, which is used to diminish the influence of image noise on level set evolution while ensuring the active contours not to pass through weak object boundaries.
The idea behind the new energy integral is that the amount of regularization on the zero level curve can be adjusted automatically by the variable exponent p(x) to fit the image data.
This energy is then incorporated into a level set formulation with an external energy term that drives the motion of the zero level set toward the desired objects boundaries, and a level set function regularization term that is necessary for maintaining stable level set evolution.
The proposed model has been applied to a wide range of both real and synthetic images with promising results.
American Psychological Association (APA)
Li, Meng& He, Chuanjiang& Zhan, Yi. 2012. Adaptive Regularized Level Set Method for Weak Boundary Object Segmentation. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1029557
Modern Language Association (MLA)
Li, Meng…[et al.]. Adaptive Regularized Level Set Method for Weak Boundary Object Segmentation. Mathematical Problems in Engineering No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-1029557
American Medical Association (AMA)
Li, Meng& He, Chuanjiang& Zhan, Yi. Adaptive Regularized Level Set Method for Weak Boundary Object Segmentation. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1029557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029557