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Reseach Article

Image Processing for Recognition of Skin Diseases

by Suneel Kumar, Ajit Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 3
Year of Publication: 2016
Authors: Suneel Kumar, Ajit Singh
10.5120/ijca2016911373

Suneel Kumar, Ajit Singh . Image Processing for Recognition of Skin Diseases. International Journal of Computer Applications. 149, 3 ( Sep 2016), 37-40. DOI=10.5120/ijca2016911373

@article{ 10.5120/ijca2016911373,
author = { Suneel Kumar, Ajit Singh },
title = { Image Processing for Recognition of Skin Diseases },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 3 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number3/25980-2016911373/ },
doi = { 10.5120/ijca2016911373 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:45.338118+05:30
%A Suneel Kumar
%A Ajit Singh
%T Image Processing for Recognition of Skin Diseases
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 3
%P 37-40
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is an extremely bulky process to predict a disease based on the visual diagnosis of cell type with precision or accuracy, especially when multiple features are associated. If we get the information about the dead skin which is not visible by naked eyes well in time then we can easily prevent the further spreading of disease on the other part of body. One of the major problems coming in the medical field is that doctors are not able to detect that infected part which is not visible by naked eyes and therefore they only operate the visible infected part of the skin and this may cause a major problem like cancer or any dangerous disease in the future. Skin cancer classification system is developed and the relationship of the skin cancer image across different type of neural network is established. The collected medical images are feed into the system, and using different image processing schemes image properties are enhanced. Useful information can be extracted from these medical images and pass to the classification system for training and testing using MATLAB image processing toolbox for detection of dead skin.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SURF HSV-histogram KNN image enhancement feature extraction