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March Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the March 2023 Edition of the journal. The last date of research paper submission is February 15, 2023.

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

Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib in Image Processing

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain, Nazmus Sakib
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  1. Tanjila Broti, Anika Siddika, Sikdar Rituparna, Nadia Hossain and Nazmus Sakib. Medical Image Analysis System for Segmenting Skin Diseases using Digital Image Processing Technology. International Journal of Applied Information Systems 12(28):7-15, March 2020. URL, DOI BibTeX

    	author = "Tanjila Broti and Anika Siddika and Sikdar Rituparna and Nadia Hossain and 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",
    	url = "",
    	doi = "10.5120/ijais2020451849",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


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