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

Abstract : 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 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 degree of correlation higher than 90% compared to theoretical hemoglobin and melanin spectra. This methodology is validated on 35 melasma lesions from a population of 10 subjects.
Liste complète des métadonnées

Cited literature [26 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00790445
Contributor : Franck Marzani <>
Submitted on : Wednesday, February 20, 2013 - 3:36:20 PM
Last modification on : Wednesday, September 12, 2018 - 1:27:17 AM
Document(s) archivé(s) le : Tuesday, May 21, 2013 - 9:24:55 AM

File

ACM_Galeano.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00790445, version 1

Collections

Citation

July A Galeano Z, Romuald Jolivot, Franck Marzani. Quantification of melanin and hemoglobin in humain skin from multispectral image acquisition: use of a neuronal network combined to a non-negative matrix factorization. Applied and Computational Mathematics, special issue on Applied Artificial Intelligence and Soft Computing, 2012, 11 (2), pp.257-270. ⟨hal-00790445⟩

Share

Metrics

Record views

311

Files downloads

1003