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Reseach Article

A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques

Published on April 2014 by K.anuradaa, R.saranya, N.jayachandra, P.muthamilselvi
Machine Learning: Challenges and Opportunities Ahead
Foundation of Computer Science USA
MLCONF - Number 1
April 2014
Authors: K.anuradaa, R.saranya, N.jayachandra, P.muthamilselvi
def0751f-e66d-4a6d-a4fb-d6fd8a40db26

K.anuradaa, R.saranya, N.jayachandra, P.muthamilselvi . A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques. Machine Learning: Challenges and Opportunities Ahead. MLCONF, 1 (April 2014), 12-16.

@article{
author = { K.anuradaa, R.saranya, N.jayachandra, P.muthamilselvi },
title = { A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques },
journal = { Machine Learning: Challenges and Opportunities Ahead },
issue_date = { April 2014 },
volume = { MLCONF },
number = { 1 },
month = { April },
year = { 2014 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /proceedings/mlconf/number1/16133-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Machine Learning: Challenges and Opportunities Ahead
%A K.anuradaa
%A R.saranya
%A N.jayachandra
%A P.muthamilselvi
%T A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques
%J Machine Learning: Challenges and Opportunities Ahead
%@ 0975-8887
%V MLCONF
%N 1
%P 12-16
%D 2014
%I International Journal of Computer Applications
Abstract

Skin types are epidermis, dermis, cutis and sub cutis. The top most layer of skin is represented as epidermis, the next layer followed by the epidermis called as dermis, and the layer in vascular are represented as cutis and sub cutis. Types of skin disease are bacterial, fungal and enzyme. The skin region is identified by its skin color. By using filter and finding the average among the lesion. and finding the affected area by extracting the primary colors from the lesion and by using line detection we can easily find the affected area of human skin finding the edge of the affected area.

References
  1. Digital Image Processing Using MATLAB,Second Edition,Rafael C. Gonzalez,Richard E. Woods,Steven L. Eddins
  2. Real Time Detection and Classification of Metal Defects Using Image Processing, Vol 2 Issue 4 April 2013 ISSN 2319-8672, Jijina K P, Sreeja, Vinod P R.
  3. Performance Analysis of Human Skin Region Detection Techniques with Face Detection Application, R. Vijayanandh, Member, IACSIT and Dr. G. Balakrishnan
  4. Segmentation Techniques Comparison in Image Processing R. Yogamangalam, B. Karthikeyan School of Computing, SASTRA University.
  5. Comparison of Edge Detection Technique in Image Processing Techniques Ireyuwa. E. Igbinosa School of Electrical and Electronics Engineering, University of KwaZulu-Natal, South Africa.
  6. Image Processing for Skin Cancer Features Extraction Md. Amran Hossen Bhuiyan, Ibrahim Azad, Md. Kamal Uddin. International Journal of Scientific & Engineering Research Volume 4, Issue 2, February-2013
  7. An image-based diagnosis of virus and bacterial Skin infections. florence tushabe ernest mwebaze fred n. kiwanuka School of Computing and I. T. , Makerere University, Kampala, Uganda
  8. Image processing techniques for the enhancement of skin disease patterns, Kimmi Verma1, Aru Mehrotra2, Vijayeta Pandey3, Shardendu Singh4 Assistant Professor, Dept of Instrumentation & Control Engg, Galgotias College Of Engg & Tech, Greater Noida, India.
Index Terms

Computer Science
Information Sciences

Keywords

Probability Distribution Image Enhancement Image Extraction Detection.