UGC Approved Journal no 63975(19)

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

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2202354


Registration ID:
320070

Page Number

d388-d397

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Title

A Review on Image Segmentation algorithms for disease detection in leaves and fruits

Abstract

The image segmentation is the process applied in order to fetch the significant objects from the given input image which in turn is used for further analysis. Image segmentation can also be coined as the technique of separating an image into different segments. Basically the segmentation is based on features such as pixel intensity value, gray scale, color, depth, brightness, texture, etc. Based on these there exists several image segmentation techniques. In this paper we present the review of the image segmentation methods.

Key Words

segmentation, clustering

Cite This Article

"A Review on Image Segmentation algorithms for disease detection in leaves and fruits", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.d388-d397, February-2022, Available :http://www.jetir.org/papers/JETIR2202354.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

"A Review on Image Segmentation algorithms for disease detection in leaves and fruits", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppd388-d397, February-2022, Available at : http://www.jetir.org/papers/JETIR2202354.pdf

Publication Details

Published Paper ID: JETIR2202354
Registration ID: 320070
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.29306
Page No: d388-d397
Country: Avinashi Taluk , Tirupur, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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