IJNRD Research Journal

Click Here

WhatsApp editor@ijnrd.org
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 8

Issue Published : 88

Article Submitted : 26066

Article Published : 7438

Total Authors : 18836

Total Reviewer : 971

Total Countries : 150

Indexing Partner

Join RMS/Earn 300


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Analysis and Detection of Dermatitis Diseases using Image Segmentation Algorithm Method.
Authors Name: Prafulla Aerkewar , Dr. G. H. Agrawal
Download E-Certificate: Download
Author Reg. ID:
Published Paper Id: IJNRD1807012
Published In: Volume 3 Issue 7, July-2018
Abstract: The aim to publish this research paper to classify dermatitis disease using new an advanced technique of image segmentation called k-means clustering method. The process of clustering image segmentation method extract different features of input test image of dermatitis disease and compare with database images features values. This method suggest appropriate procedure such that the all dermatitis disease having skin lesion on body are classified in to four category using k-means image segmentation and nntool of Matlab. Through the image segmentation technique and nntool can be analyze and study the segmentation properties of skin lesions occurs in dermatitis disease. A skin lesion is a superficial growth or patch of the skin that does not resemble the area surrounding it. It have also been proposed that which are suitable for the processing of various images for different types of patches for various skin diseases. The skin lesion in different dermatitis diseases are different in appearance and have different properties though they looks similar in some circumstances. The main objective to classify the lesions of different dermatitis diseases based on its twelve parameters like contrast, Energy, Homogeneity etc where it would be able to classify the similar patch in to different disease.
Keywords: Segmentation, Disease, Dermatitis Lesion, Patch,, Leprosy, Vitiligo, Psoriasis, Feature Extraction, Feature Selection, Entropy, Autocorrelation
Cite Article: "Analysis and Detection of Dermatitis Diseases using Image Segmentation Algorithm Method.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 7, page no.68-72, July-2018, Available :http://www.ijnrd.org/papers/IJNRD1807012.pdf
Downloads: 000114646
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD1807012
Registration ID: 180132
Published In: Volume 3 Issue 7, July-2018
DOI (Digital Object Identifier):
Page No: 68-72
Country: Nagpur, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1807012
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1807012
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to Get DOI? DOI


Open Access License Policy

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

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media


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

Join RMS/Earn 300