eprintid: 1810
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/18/10
datestamp: 2023-11-09 15:49:58
lastmod: 2023-11-09 15:49:58
status_changed: 2023-11-09 15:41:24
type: article
metadata_visibility: show
creators_name: Fadzil, M.H.A.
creators_name: Nugroho, H.
creators_name: Jolivot, R.
creators_name: Marzani, F.
creators_name: Shamsuddin, N.
creators_name: Baba, R.
title: Modelling of reflectance spectra of skin phototypes III
ispublished: pub
keywords: Clinical study; Fitzpatrick; Human skin; Multi-spectral cameras; Piecewise linear regression; Reflectance model; Reflectance spectrum; Skin colour; Skin samples; Skin tone; Skin-phototype; SPT III; Visual informatics, Color; Dermatology; Information science; Linear regression; Piecewise linear techniques, Reflection
note: cited By 5; Conference of 2nd International Visual Informatics Conference, IVIC 2011 ; Conference Date: 9 November 2011 Through 11 November 2011; Conference Code:87315
abstract: In dermatology, study of human skin colour is related to skin phototype (SPT) in which the Fitzpatrick's scale is the most used skin photo type classification. Assessment of skin response to UV for various reasons plays an important role in dermatology. This is however not easy to be performed because of two reasons. Firstly, skin areas may have different skin tone resulting in different reflectance spectra and secondly, different modalities may produce different reflectance spectra. We hypothesize that the underlying pattern of reflectance spectra must be similar regardless of the modalities use and the skin areas where it is obtained, for a particular person. An observational clinical study involving 21 participants with SPT III was performed to study the relationship between reflectance spectra of facultative skin colour and constitutive skin colour obtained using two different instruments namely spectrophometer and multispectral camera. The reflectance spectra is then modelled by different linear regressions over different intervals of wavelength (piecewise linear regressions). Results show that correlation between the modelled reflectance and reflectance obtained from different skin samples using different instruments is very high (R-squared >0.965). For this, it can be inferred that the reflectance model based on piecewise linear regressions is suitable to model SPT III. © 2011 Springer-Verlag.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-81255207286&doi=10.1007%2f978-3-642-25191-7_34&partnerID=40&md5=a07bc1ffdd400afcbf86f760c848106c
id_number: 10.1007/978-3-642-25191-7₃₄
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 7066 L
number: PART 1
place_of_pub: Selangor
pagerange: 352-360
refereed: TRUE
isbn: 9783642251900
issn: 03029743
citation:   Fadzil, M.H.A. and Nugroho, H. and Jolivot, R. and Marzani, F. and Shamsuddin, N. and Baba, R.  (2011) Modelling of reflectance spectra of skin phototypes III.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7066 L (PART 1).  pp. 352-360.  ISSN 03029743