Nonlinear Estimation of Chromophore Concentrations and Shading from Hyperspectral Images

Conference paper

DOI: 10.1007/978-3-319-33618-3_11

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9680)
Cite this paper as:
Akaho R., Hirose M., Tsumura N. (2016) Nonlinear Estimation of Chromophore Concentrations and Shading from Hyperspectral Images. In: Mansouri A., Nouboud F., Chalifour A., Mammass D., Meunier J., Elmoataz A. (eds) Image and Signal Processing. ICISP 2016. Lecture Notes in Computer Science, vol 9680. Springer, Cham

Abstract

This paper aims to apply nonlinear estimation of chromophore concentrations: melanin, oxy-hemoglobin, deoxy-hemoglobin and shading to the real hyperspectral image of skin. Skin reflectance is captured in the wavelengths between 400 nm and 700 nm by hyperspectral scanner. Five-band wavelengths data are selected from skin reflectance. By using the cubic function which obtained by Monte Carlo simulation of light transport in multi-layered tissue, chromophore concentration is determined by minimizing residual sum of squares of reflectance.

Keywords

Melanin volume Blood volume Monte Carlo simulation Spectral reflectance 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Informatics and Imaging SystemsChiba UniversityChibaJapan
  2. 2.Graduate School of Advanced Integration ScienceChiba UniversityChibaJapan

Personalised recommendations