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Skin Diseases Detection Models using Image Processing: A Survey

by Nisha Yadav, Virender Kumar Narang, Utpal Shrivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 12
Year of Publication: 2016
Authors: Nisha Yadav, Virender Kumar Narang, Utpal Shrivastava
10.5120/ijca2016909001

Nisha Yadav, Virender Kumar Narang, Utpal Shrivastava . Skin Diseases Detection Models using Image Processing: A Survey. International Journal of Computer Applications. 137, 12 ( March 2016), 34-39. DOI=10.5120/ijca2016909001

@article{ 10.5120/ijca2016909001,
author = { Nisha Yadav, Virender Kumar Narang, Utpal Shrivastava },
title = { Skin Diseases Detection Models using Image Processing: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 12 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number12/24330-2016909001/ },
doi = { 10.5120/ijca2016909001 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:12.648343+05:30
%A Nisha Yadav
%A Virender Kumar Narang
%A Utpal Shrivastava
%T Skin Diseases Detection Models using Image Processing: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 12
%P 34-39
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a days, skin diseases are mostly found in animals, humans and plants. A skin disease is a particular kind of illness caused by bacteria or an infection. These diseases like alopecia, ringworm, yeast infection, brown spot, allergies, eczema etc. have various dangerous effects on the skin and keep on spreading over time. It becomes important to identify these diseases at their initial stage to control it from spreading. These diseases are identified by using many technologies such as image processing, data mining, artificial neural network (ANN) etc. Recently, image processing has played a major role in this area of research and has widely used for the detection of skin diseases. Techniques like filtering, segmentation, feature extraction, image pre-processing and edge detection etc. are part of image processing and are used to identify the part affected by disease, the form of affected area, its affected area color etc. This paper presents a survey of various skin disease diagnosis systems using image processing techniques in recent times. A comprehensive study of a number of skin disease diagnosis systems are done in this paper, with different methodologies and their performances.

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Index Terms

Computer Science
Information Sciences

Keywords

Image processing skin diseases ANN segmentation image pre-processing edge detection filtering.

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