SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION
International audience Data reduction procedures and classification via support vector machines (SVMs) are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a classification of skin hyper-pigmentation...
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ftunivcotedazur:oai:HAL:inria-00495560v1 2023-10-09T21:52:42+02:00 SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION Prigent, Sylvain Descombes, Xavier Zugaj, Didier Zerubia, Josiane Inverse problems in earth monitoring (ARIANA) Inria Sophia Antipolis - Méditerranée (CRISAM) Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Signal, Images et Systèmes (Laboratoire I3S - SIS) Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) GALDERMA R&D Reykjavik, Iceland 2010-06-14 https://inria.hal.science/inria-00495560 https://inria.hal.science/inria-00495560/document https://inria.hal.science/inria-00495560/file/whispers2010_submission_124.pdf en eng HAL CCSD inria-00495560 https://inria.hal.science/inria-00495560 https://inria.hal.science/inria-00495560/document https://inria.hal.science/inria-00495560/file/whispers2010_submission_124.pdf info:eu-repo/semantics/OpenAccess IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers) https://inria.hal.science/inria-00495560 IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers), Jun 2010, Reykjavik, Iceland [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing info:eu-repo/semantics/conferenceObject Conference papers 2010 ftunivcotedazur 2023-09-12T22:53:01Z International audience Data reduction procedures and classification via support vector machines (SVMs) are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a classification of skin hyper-pigmentation on multi-spectral images. We propose a spectral analysis method to partition the spectrum as a tool for data reduction, implemented by projection pursuit. Once the data is reduced, an SVM is used to differentiate the pathological from the healthy areas. As SVM is a supervised classification method, we propose a spatial criterion for spectral analysis in order to perform automatic learning. Conference Object Iceland HAL Université Côte d'Azur |
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Open Polar |
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HAL Université Côte d'Azur |
op_collection_id |
ftunivcotedazur |
language |
English |
topic |
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
spellingShingle |
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Prigent, Sylvain Descombes, Xavier Zugaj, Didier Zerubia, Josiane SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
topic_facet |
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
description |
International audience Data reduction procedures and classification via support vector machines (SVMs) are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a classification of skin hyper-pigmentation on multi-spectral images. We propose a spectral analysis method to partition the spectrum as a tool for data reduction, implemented by projection pursuit. Once the data is reduced, an SVM is used to differentiate the pathological from the healthy areas. As SVM is a supervised classification method, we propose a spatial criterion for spectral analysis in order to perform automatic learning. |
author2 |
Inverse problems in earth monitoring (ARIANA) Inria Sophia Antipolis - Méditerranée (CRISAM) Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Signal, Images et Systèmes (Laboratoire I3S - SIS) Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) GALDERMA R&D |
format |
Conference Object |
author |
Prigent, Sylvain Descombes, Xavier Zugaj, Didier Zerubia, Josiane |
author_facet |
Prigent, Sylvain Descombes, Xavier Zugaj, Didier Zerubia, Josiane |
author_sort |
Prigent, Sylvain |
title |
SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
title_short |
SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
title_full |
SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
title_fullStr |
SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
title_full_unstemmed |
SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION |
title_sort |
spectral analysis and unsupervised svm classification for skin hyper-pigmentation classification |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://inria.hal.science/inria-00495560 https://inria.hal.science/inria-00495560/document https://inria.hal.science/inria-00495560/file/whispers2010_submission_124.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers) https://inria.hal.science/inria-00495560 IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers), Jun 2010, Reykjavik, Iceland |
op_relation |
inria-00495560 https://inria.hal.science/inria-00495560 https://inria.hal.science/inria-00495560/document https://inria.hal.science/inria-00495560/file/whispers2010_submission_124.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1779315870926897152 |