UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1907K14


Registration ID:
223009

Page Number

106-110

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Title

APPLICABILITY OF GENETIC ALGORITHMS IN IMAGE SEGMENTATION

Abstract

Image Analysis is a process of extraction of information from a given image. Image Segmentation partitions the image and segregates the important areas of the image. Image segmentation is an important task in Image Analysis as it helps in extraction of required information from a segmented image. Genetic Algorithms (GA) is a soft computing technique which can find optimal solutions for complex problems and can produce better results. A Literature review of proposed Image segmentation techniques have been presented. The paper also discusses applicability of Genetic Algorithms (GA) in Image Segmentation. It paves the way of GA in Image Segmentation.

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"APPLICABILITY OF GENETIC ALGORITHMS IN IMAGE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.106-110, June 2019, Available :http://www.jetir.org/papers/JETIR1907K14.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

"APPLICABILITY OF GENETIC ALGORITHMS IN IMAGE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp106-110, June 2019, Available at : http://www.jetir.org/papers/JETIR1907K14.pdf

Publication Details

Published Paper ID: JETIR1907K14
Registration ID: 223009
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 106-110
Country: FARIDABAD, Haryana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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