Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Skin Diseases Detection Using the Spectral Analysis

Authors
Xianjiang Meng, Xianli Meng, Jinhua Zhou, Junjie Wang
Corresponding Author
Xianjiang Meng
Available Online March 2014.
DOI
10.2991/mce-14.2014.97How to use a DOI?
Keywords
spectral anaysis;skin disease detection;tri-stimulating value;fiber probe; chromatic aberration
Abstract

In order to detect the skin’s disease with the spectral instrument, the reflection spectrum should be gotten to calculate the chromatic values and be analyzed compared. In this paper a kind of chromatic system with self-made fiber probe was designed to measure the spectrum to distinguish the skin normal or not in this paper. The probe was used to minimum the interference outside to the chromatic measurement in order to develop the chromatic measurement accuracy. Through the system, first we got the spectrum of different skin, the normal and the pathological from different part of the sick body, then calculating the tri-stimulating value and chromatic aberration, we can distinguish the normal with the pathological by the chromatic aberration and make sure if the disease is cured. Good results are achieved by the analyzing of the skin with this system, so a method to distinguish the pathological skin automatically and objectively is attained.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/mce-14.2014.97
ISSN
1951-6851
DOI
10.2991/mce-14.2014.97How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xianjiang Meng
AU  - Xianli Meng
AU  - Jinhua Zhou
AU  - Junjie Wang
PY  - 2014/03
DA  - 2014/03
TI  - Skin Diseases Detection Using the Spectral Analysis
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 438
EP  - 441
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.97
DO  - 10.2991/mce-14.2014.97
ID  - Meng2014/03
ER  -