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Reseach Article

Design of Embedded System for Skin Pigments Disorder Identification

Published on November 2011 by Kanchan Anasane, Prof. Jagruti J. Shah
2nd National Conference on Information and Communication Technology
Foundation of Computer Science USA
NCICT - Number 7
November 2011
Authors: Kanchan Anasane, Prof. Jagruti J. Shah
2c597175-2ca9-4f8b-bf95-a7ade63a9b8b

Kanchan Anasane, Prof. Jagruti J. Shah . Design of Embedded System for Skin Pigments Disorder Identification. 2nd National Conference on Information and Communication Technology. NCICT, 7 (November 2011), 1-4.

@article{
author = { Kanchan Anasane, Prof. Jagruti J. Shah },
title = { Design of Embedded System for Skin Pigments Disorder Identification },
journal = { 2nd National Conference on Information and Communication Technology },
issue_date = { November 2011 },
volume = { NCICT },
number = { 7 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncict/number7/4228-ncict049/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Information and Communication Technology
%A Kanchan Anasane
%A Prof. Jagruti J. Shah
%T Design of Embedded System for Skin Pigments Disorder Identification
%J 2nd National Conference on Information and Communication Technology
%@ 0975-8887
%V NCICT
%N 7
%P 1-4
%D 2011
%I International Journal of Computer Applications
Abstract

This paper describes an image analysis technique that objectively study the skin pigments disorders which can be useful in assessment of treatment. The word Pigmentation means coloring. Skin pigmentation disorders affect the color of the skin. Therapeutic response of treatment results in repigmentation of the skin. However the repigmentation process is very slow and is only observable after a few months of treatment. Currently, there is no objective method in assessing the therapeutic response of skin pigment disorder treatment. The use of digital image features may help in an objective follow-up study of skin pigment disorder progression and test the efficacy of therapeutic procedures. The proposed methodology provides superior performance of skin disorder identification.

References
  1. Guoliang Yang; Huan Li; Li Zhang; Yue Cao; “Research on a Skin Color Detection Algorithm Based on Self-adaptive Skin Color Model” Sch. of Mech. & Electr. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China IEEE November 2011
  2. Ahmad Fadzil M H, Hermawan Nugroho, S. Norashikin H.H. Suraiya “Assessment of Therapeutic Response in Skin Pigment Disorder Treatment” Department of Electrical and Electronics Engineering Universiti Teknologi PETRONAS, 31750, Perak, Malaysia 2009
  3. Jelte Peter Vink, Tommaso Gritti, Yili Hu and Gerard de Haan “Robust Skin Detection using Multi-spectral Illumination” Y. Hu and G. de Haan are with the Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands 2009
  4. Moritz Störring, Hans J. Andersen, and Erik Granum, “Skin Colour Detection Under Changing Lighting Conditions”, Journal of Autonomous System, 2008
  5. Christian Tronstad, Ørjan G. Martinsen, Senior Member, IEEE, and Sverre Grimnes “Embedded instrumentation for skin admittance measurement” 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008
  6. H. Nugroho, M.H. Fadzil, V.V Yap, S. Norashikin, H.H Suraiya, “Determination of Skin Repigmentation Progression”,Conf Proc. IEEE Eng Med Biol Soc 2007: 3442-3445
  7. I. Maglogiannis, S. Pavlopoulos, D. Koutsouris, “An Integrated Computer Supported Acquisition, Handling, and Characterization System for Pigmented Skin Lesions in Dermatological Images”, IEEE Transactions on Information Technology in Biomedicine, vol. 9, pp. 86-98, March 2005
  8. A. Diplaros, T. Gevers and N. Vlassis proposed “Skin detection using the EM algorithm with spatial Constraints” Informatics Institute, University of Amsterdam The Netherlands IEEE 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Skin pigments repigmentation Embeddeed systems