UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRC006128


Registration ID:
183833

Page Number

715-720

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Title

Diagonizing Diseases by Retinal Images Using Image Processing

Abstract

Digital image processing plays a vital role in medical field for detecting and identifying various diseases through digital processing techniques. Retinal images are used to diagnose various diseases like cardiovascular, diabetes, hypertension, stroke, tumors. Retinal blood vessels are difficult to detect, so segmentation of retinal blood vessels is important. In this paper we proposed a K-Means Clustering algorithm for retinal blood vessels segmentation based on neural networks using DWT, GLCM as features. The proposed algorithm was tested on mat lab versions. Thus, from this the disease is identified with various retinal images.

Key Words

Retinal blood vessel, image segmentation, k means clustering, classification, features selection.

Cite This Article

"Diagonizing Diseases by Retinal Images Using Image Processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.715-720, June-2018, Available :http://www.jetir.org/papers/JETIRC006128.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Diagonizing Diseases by Retinal Images Using Image Processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp715-720, June-2018, Available at : http://www.jetir.org/papers/JETIRC006128.pdf

Publication Details

Published Paper ID: JETIRC006128
Registration ID: 183833
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 715-720
Country: CHENNAI, TAMILNADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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