Implicit Active Contours Driven by Local and Global Image Fitting Energy for Image Segmentation and Target Localization
Joint Authors
Yu, Xiaosheng
Hu, Nan
Lu, Ziwei
Qi, Yuanchen
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We propose a novel active contour model in a variational level set formulation for image segmentation and target localization.
We combine a local image fitting term and a global image fitting term to drive the contour evolution.
Our model can efficiently segment the images with intensity inhomogeneity with the contour starting anywhere in the image.
In its numerical implementation, an efficient numerical schema is used to ensure sufficient numerical accuracy.
We validated its effectiveness in numerous synthetic images and real images, and the promising experimental results show its advantages in terms of accuracy, efficiency, and robustness.
American Psychological Association (APA)
Yu, Xiaosheng& Qi, Yuanchen& Lu, Ziwei& Hu, Nan. 2013. Implicit Active Contours Driven by Local and Global Image Fitting Energy for Image Segmentation and Target Localization. Journal of Sensors،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-492633
Modern Language Association (MLA)
Yu, Xiaosheng…[et al.]. Implicit Active Contours Driven by Local and Global Image Fitting Energy for Image Segmentation and Target Localization. Journal of Sensors No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-492633
American Medical Association (AMA)
Yu, Xiaosheng& Qi, Yuanchen& Lu, Ziwei& Hu, Nan. Implicit Active Contours Driven by Local and Global Image Fitting Energy for Image Segmentation and Target Localization. Journal of Sensors. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-492633
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492633