The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017 English Publisher:WileyJournal:Journal of Electrical and Computer Engineering, volume 2,017, pages 1-6 (issn: 2090-0147, eissn: 2090-0155,

Copyright policy )

Authors: Samba Sidibe; Oumar Niang; Abdoulaye Thioune; Abdoul-Dalibou Abdou; Ndeye Fatou Ngom;

doi: 10.1155/2017/7948571

The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis

- Summary
- Subjects
- Metrics

Abstract

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.

Related Organizations

École Polytechnique de Thiès
Senegal

Keywords

TK7885-7895, Computer engineering. Computer hardware

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average