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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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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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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