A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-23
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
The fuzzy C means clustering algorithm with spatial constraint (FCMS) is effective for image segmentation.
However, it lacks essential smoothing constraints to the cluster boundaries and enough robustness to the noise.
Samson et al.
proposed a variational level set model for image clustering segmentation, which can get the smooth cluster boundaries and closed cluster regions due to the use of level set scheme.
However it is very sensitive to the noise since it is actually a hard C means clustering model.
In this paper, based on Samson’s work, we propose a new variational level set model combined with FCMS for image clustering segmentation.
Compared with FCMS clustering, the proposed model can get smooth cluster boundaries and closed cluster regions due to the use of level set scheme.
In addition, a block-based energy is incorporated into the energy functional, which enables the proposed model to be more robust to the noise than FCMS clustering and Samson’s model.
Some experiments on the synthetic and real images are performed to assess the performance of the proposed model.
Compared with some classical image segmentation models, the proposed model has a better performance for the images contaminated by different noise levels.
American Psychological Association (APA)
Tang, Liming. 2014. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-449343
Modern Language Association (MLA)
Tang, Liming. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-24.
https://search.emarefa.net/detail/BIM-449343
American Medical Association (AMA)
Tang, Liming. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-449343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449343