International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : Diagnosing Human Diseases using Toe Nail

Authors:Dr.A.Mercy Rani || M.Kaleeswari, M.Karpagam

Abstract:Digital Image Processing deals with the manipulation of digital images through a digital computer. Digital Image Processing plays a vital role in the medical field. Medical Imaging helps to reveal and analyze the internal structure and external structure of the human parts for easy diagnosis of the diseases. A human Toenail is one of the parts for finding the diseases. The diseases can be detected by extracting its assorted features from the nail. The features such as color, texture, and shape are the basic component to ascertain the affected areas in the nail. In this paper, the proposed system is developed to identify the diseases using toenail color. In this system, the nail images are acquired by the image acquisition and the segmentation technique is applied for feature extraction to extract the affected portion of the toenail. The Hue value is used for identifying the color of the nail. Finally, the result is evaluated and the nail disease is diagnosed based on the nail color.

Keywords: Hue value, Color, Medical Image, Toe nail

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DOI: 01.1617/vol5/iss3/pid78259


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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