Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Diagnosing Human Diseases using Toe Nail

Author : Dr.A.Mercy Rani 1 M.Kaleeswari 2 M.Karpagam 3

Date of Publication :30th March 2018

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

Reference :

    1. Nail Color and Texture Analysis for Disease Detection Vipra Sharma and ManojRamaiya International Journal of Bio-Science and Bio-Technology Vol.7, No.5 (2015 Pp .351-358 http://dx.doi.org/10.14257/ijbsbt.2015.7.5.34
    2. M. E. Williams,Finger Nails: “ExaminingWhenthe evaluating presenting symptoms in elderly Patients”, Accessed From:www.medscape.com, Accessed on: [22/12/2014], (2009)
    3. Jain, Anil K. Fundamentals of digital image processing. Prentice-Hall, Inc., 1989.
    4. Jayaraman S, Esakirajan S., and Veerakumar T. Digital Image Processing. New Delhi: Tata McGraw Hill Education Private Limited, 2012.
    5. Sural, Shamik, Gang Qian, and SaktiPramanik. "Segmentation and histogram generation using the HSV color space for image retrieval." Image processing. 2002. Proceedings. 2002 International Conference on.Vol.2.IEEE, 2002.
    6. Baxes, Gregory A. Digital image processing: principles and applications. New York: Wiley, 1994
    7. Plataniotis, Konstantinos N., and Anastasios N. Venetsanopoulos. Color image processing and applications.Springer Science & Business Media, 2013.

Recent Article