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Segmentation of Regions of Interest Using Active Contours with SPF Function
Joint Authors
Akram, Farhan
Lee, Chan-Gun
Choi, Kwang Nam
Kim, Jeong Heon
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Segmentation of regions of interest is a well-known problem in image segmentation.
This paper presents a region-based image segmentation technique using active contours with signed pressure force (SPF) function.
The proposed algorithm contemporaneously traces high intensity or dense regions in an image by evolving the contour inwards.
In medical image modalities these high intensity or dense regions refer to tumor, masses, or dense tissues.
The proposed method partitions an image into an arbitrary number of subregions and tracks down salient regions step by step.
It is implemented by enforcing a new region-based SPF function in a traditional edge-based level set model.
It partitions an image into subregions and then discards outer subregion and partitions inner region into two more subregions; this continues iteratively until a stopping condition is fulfilled.
A Gaussian kernel is used to regularize the level set function, which not only regularizes it but also removes the need of computationally expensive reinitialization.
The proposed segmentation algorithm has been applied to different images in order to demonstrate the accuracy, effectiveness, and robustness of the algorithm.
American Psychological Association (APA)
Akram, Farhan& Kim, Jeong Heon& Lee, Chan-Gun& Choi, Kwang Nam. 2015. Segmentation of Regions of Interest Using Active Contours with SPF Function. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1057980
Modern Language Association (MLA)
Akram, Farhan…[et al.]. Segmentation of Regions of Interest Using Active Contours with SPF Function. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1057980
American Medical Association (AMA)
Akram, Farhan& Kim, Jeong Heon& Lee, Chan-Gun& Choi, Kwang Nam. Segmentation of Regions of Interest Using Active Contours with SPF Function. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1057980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057980