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Medical Image Analysis System for Segmenting Skin Diseases using Digital Image Processing Technology

by Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 28
Year of Publication: 2020
Authors: Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib
10.5120/ijais2020451849

Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib . Medical Image Analysis System for Segmenting Skin Diseases using Digital Image Processing Technology. International Journal of Applied Information Systems. 12, 28 ( March 2020), 7-15. DOI=10.5120/ijais2020451849

@article{ 10.5120/ijais2020451849,
author = { Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib },
title = { Medical Image Analysis System for Segmenting Skin Diseases using Digital Image Processing Technology },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2020 },
volume = { 12 },
number = { 28 },
month = { March },
year = { 2020 },
issn = { 2249-0868 },
pages = { 7-15 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number28/1080-2020451849/ },
doi = { 10.5120/ijais2020451849 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:10:19.022482+05:30
%A Tanjila Broti
%A Anika Siddika
%A Sikdar Rituparna
%A Nadia Hossain
%A Nazmus Sakib
%T Medical Image Analysis System for Segmenting Skin Diseases using Digital Image Processing Technology
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 28
%P 7-15
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital Image Processing (DIP) provisions robust research platform in areas of epidermis, dermis, and subcutaneous tissues. The skin is the principal organ of the human body, containing blood vessels, lymphatic vessels, nerves, and muscles, which can perspire, perceive the external temperature, and protect the body which can be faced larger problem directed by any skin disease. This research deals with various image processing techniques, image segmentation shows a vital role in step to analyze the given image and has become a prominent objective in computer vision. This work deals on the basic principles on the methods used to segment the infected part in an image and pre-processing of images to enhance the quality on the four diseases namely: Seborrheic Dermatitis, Diabetic Foot Ulcer, Impetigo, and Melanoma. Here, three segmentation methods for the given four diseases are evaluated for the efficient use for the medical purpose.

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Index Terms

Computer Science
Information Sciences

Keywords

Skin disease Segmentation K-Means Marker-controlled Watershed Otsu thresholding Jaccard Index Dice Coefficient

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