A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation
Joint Authors
Wu, Jiaji
Paul, Anand
Gong, Maoguo
Shi, Jiao
Jiao, Licheng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-24
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Active contour models are always designed on the assumption that images are approximated by regions with piecewise-constant intensities.
This assumption, however, cannot be satisfied when describing intensity inhomogeneous images which frequently occur in real world images and induced considerable difficulties in image segmentation.
A milder assumption that the image is statistically homogeneous within different local regions may better suit real world images.
By taking local image information into consideration, an enhanced active contour model is proposed to overcome difficulties caused by intensity inhomogeneity.
In addition, according to curve evolution theory, only the region near contour boundaries is supposed to be evolved in each iteration.
We try to detect the regions near contour boundaries adaptively for satisfying the requirement of curve evolution theory.
In the proposed method, pixels within a selected region near contour boundaries have the opportunity to be updated in each iteration, which enables the contour to be evolved gradually.
Experimental results on synthetic and real world images demonstrate the advantages of the proposed model when dealing with intensity inhomogeneity images.
American Psychological Association (APA)
Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. 2014. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1051291
Modern Language Association (MLA)
Shi, Jiao…[et al.]. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-1051291
American Medical Association (AMA)
Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1051291
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051291