![](/images/graphics-bg.png)
Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution
Joint Authors
Cruz-Aceves, I.
López-Hernández, J. M.
Torres-Cisneros, M.
Estrada-Garcia, H. J.
Hernandez-Aguirre, A.
Aviña-Cervantes, J. G.
Garcia-Hernandez, M. G.
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a novel automatic image segmentation method based on the theory of active contour models and estimation of distribution algorithms.
The proposed method uses the univariate marginal distribution model to infer statistical dependencies between the control points on different active contours.
These contours have been generated through an alignment process of reference shape priors, in order to increase the exploration and exploitation capabilities regarding different interactive segmentation techniques.
This proposed method is applied in the segmentation of the hollow core in microscopic images of photonic crystal fibers and it is also used to segment the human heart and ventricular areas from datasets of computed tomography and magnetic resonance images, respectively.
Moreover, to evaluate the performance of the medical image segmentations compared to regions outlined by experts, a set of similarity measures has been adopted.
The experimental results suggest that the proposed image segmentation method outperforms the traditional active contour model and the interactive Tseng method in terms of segmentation accuracy and stability.
American Psychological Association (APA)
Cruz-Aceves, I.& Aviña-Cervantes, J. G.& López-Hernández, J. M.& Garcia-Hernandez, M. G.& Torres-Cisneros, M.& Estrada-Garcia, H. J.…[et al.]. 2013. Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031885
Modern Language Association (MLA)
Cruz-Aceves, I.…[et al.]. Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031885
American Medical Association (AMA)
Cruz-Aceves, I.& Aviña-Cervantes, J. G.& López-Hernández, J. M.& Garcia-Hernandez, M. G.& Torres-Cisneros, M.& Estrada-Garcia, H. J.…[et al.]. Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031885