Search results for "Human Skin Absorbance Spectrum"

showing 2 items of 2 documents

Quantification of melanin and hemoglobin in humain skin from multispectral image acquisition: use of a neuronal network combined to a non-negative ma…

2012

International audience; This article presents a multispectral imaging system which, coupled with a neural network-based algorithm, reconstructs reflectance cubes. The reflectance spectra are obtained using artificial neural-netwok reconstruction which generates reflectance cubes from acquired multispectral images. Then, a blind source separation algorithm based on Non-negative Matrix Factorization is used for the decomposition of human skin absorption spectra in its main pigments: melanin and hemoglobin. The analysis is performed on reflectance spectra. The implemented source separation algorithm is based on a multiplicative coefficient upload. The goal is to represent a given spectrum as t…

Non-Negative Matrix FactorizationBlind Source Separation Algorithms[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMulti/Hyper-Spectral ImagingNeural Networks[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingHuman Skin Absorbance Spectrum[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingReflectance Cube Reconstruction[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHuman Skin Absorbance Spectrum.
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Analysis of human skin hyper-spectral images by non-negative matrix factorization

2011

International audience; This article presents the use of Non-negative Matrix Factorization, a blind source separation algorithm, for the decomposition of human skin absorption spectra in its main pigments: melanin and hemoglobin. The evaluated spectra come from a Hyper-Spectral Image, which is the result of the processing of a Multi-Spectral Image by a neural network-based algorithm. The implemented source separation algorithm is based on a multiplicative coeffi cient upload. The goal is to represent a given spectrum as the weighted sum of two spectral components. The resulting weighted coefficients are used to quantify melanin and hemoglobin content in the given spectra. Results present a …

Mathematical optimization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingAbsorption spectroscopy[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMelasmaComputer sciencePhysics::Medical PhysicsPopulation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesNon-negative Matrix FactorizationSpectral line030218 nuclear medicine & medical imagingNon-negative matrix factorizationMatrix decomposition010309 opticsBlind source separation algorithms03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesSource separationmedicineMulti/Hyper-Spectral imagingeducation[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingeducation.field_of_studyArtificial neural networkbusiness.industrySpectrum (functional analysis)Pattern recognitionmedicine.diseaseArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processinghuman skin absorbance spectrum
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