The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis

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 alg...

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Main Authors: Samba Sidibe, Oumar Niang, Abdoulaye Thioune, Abdoul-Dalibou Abdou, Ndeye Fatou Ngom
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/7948571
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author Samba Sidibe
Oumar Niang
Abdoulaye Thioune
Abdoul-Dalibou Abdou
Ndeye Fatou Ngom
author_facet Samba Sidibe
Oumar Niang
Abdoulaye Thioune
Abdoul-Dalibou Abdou
Ndeye Fatou Ngom
author_sort Samba Sidibe
collection DOAJ
description 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.
format Article
id doaj-art-8b14d678bc574483b470c1d11ba802f1
institution Kabale University
issn 2090-0147
2090-0155
language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Journal of Electrical and Computer Engineering
spelling doaj-art-8b14d678bc574483b470c1d11ba802f12025-02-03T05:49:28ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/79485717948571The 2D Spectral Intrinsic Decomposition Method Applied to Image AnalysisSamba Sidibe0Oumar Niang1Abdoulaye Thioune2Abdoul-Dalibou Abdou3Ndeye Fatou Ngom4Laboratoire de Traitement de l’Information et Systèmes Intelligents, Ecole Polytechnique de Thiès, BP A10, Thiès, SenegalLaboratoire de Traitement de l’Information et Systèmes Intelligents, Ecole Polytechnique de Thiès, BP A10, Thiès, SenegalLaboratoire de Traitement de l’Information et Systèmes Intelligents, Ecole Polytechnique de Thiès, BP A10, Thiès, SenegalLaboratoire de Traitement de l’Information et Systèmes Intelligents, Ecole Polytechnique de Thiès, BP A10, Thiès, SenegalLaboratoire de Traitement de l’Information et Systèmes Intelligents, Ecole Polytechnique de Thiès, BP A10, Thiès, SenegalWe 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.http://dx.doi.org/10.1155/2017/7948571
spellingShingle Samba Sidibe
Oumar Niang
Abdoulaye Thioune
Abdoul-Dalibou Abdou
Ndeye Fatou Ngom
The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
Journal of Electrical and Computer Engineering
title The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
title_full The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
title_fullStr The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
title_full_unstemmed The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
title_short The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis
title_sort 2d spectral intrinsic decomposition method applied to image analysis
url http://dx.doi.org/10.1155/2017/7948571
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