Feature based characterization of Vitiligo skin images using Machine Learning

Volume 20 No 6 (2022)

Siddheshwari Dutt Mishra , Prof. Ajay K. Shrivastava

DOI: 10.14704/nq.2022.20.6.NQ22210

Abstract

Image processing techniques help in better reception of im- ages. Their utility can be extended in the field of biomedical science for analysis and identification of various skin problems like skin cancer, vitiligo, corn and other such disease. Applicability of image processing algorithm along with intelligently trained network helps in rectifying the disease and adopting preventive measures

Keywords

Vitiligo, Skin Colour, Skin Texture and ML

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.