The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
Joint Authors
Niang, Oumar
Sidibe, Samba
Abdou, Abdoul-Dalibou
Ngom, Ndeye Fatou
Thioune, Abdoulaye
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-20
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
We propose a new method for autoadaptive image decomposition and recomposition based on the two-dimensional version of the Spectral Intrinsic Decomposition (SID).
We introduce a faster diffusivity function for the computation of the mean envelope operator which provides the components of the SID algorithm for any signal.
The 2D version of SID algorithm is implemented and applied to some very known images test.
We extracted relevant components and obtained promising results in images analysis applications.
American Psychological Association (APA)
Sidibe, Samba& Niang, Oumar& Thioune, Abdoulaye& Abdou, Abdoul-Dalibou& Ngom, Ndeye Fatou. 2017. The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1175380
Modern Language Association (MLA)
Sidibe, Samba…[et al.]. The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1175380
American Medical Association (AMA)
Sidibe, Samba& Niang, Oumar& Thioune, Abdoulaye& Abdou, Abdoul-Dalibou& Ngom, Ndeye Fatou. The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1175380
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175380
