Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms
Joint Authors
Masmoudi, Mohamed
Auroux, Didier
Cohen, Laurent D.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-11
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
We combine in this paper the topological gradient, which is a powerful method for edge detection in image processing, and a variant of the minimal path method in order to find connected contours.
The topological gradient provides a more global analysis of the image than the standard gradient and identifies the main edges of an image.
Several image processing problems (e.g., inpainting and segmentation) require continuous contours.
For this purpose, we consider the fast marching algorithm in order to find minimal paths in the topological gradient image.
This coupled algorithm quickly provides accurate and connected contours.
We present then two numerical applications, to image inpainting and segmentation, of this hybrid algorithm.
American Psychological Association (APA)
Auroux, Didier& Cohen, Laurent D.& Masmoudi, Mohamed. 2011. Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-483481
Modern Language Association (MLA)
Auroux, Didier…[et al.]. Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-20.
https://search.emarefa.net/detail/BIM-483481
American Medical Association (AMA)
Auroux, Didier& Cohen, Laurent D.& Masmoudi, Mohamed. Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-483481
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483481