UGC Approved Journal no 63975

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

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1807873


Registration ID:
184718

Page Number

974-981

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Title

Review Of Image Segmentation And Its Techniques

Abstract

Nowadays, image segmentation is the most important process of digital image processing. It is used for image compression and object recognition to simplify it. Image segmentation partitions the image into segments based on their certain features such as color, texture, intensity values etc. These segments should be meaningful that can be easily analyze. It actually locates the objects and boundaries of an image. This paper reviews various region based and edge based segmentation techniques and their comparison. These techniques effectively segment the image in a meaningful way.

Key Words

Image segmentation, Region based and Edge based segmentation

Cite This Article

"Review Of Image Segmentation And Its Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.974-981, July-2018, Available :http://www.jetir.org/papers/JETIR1807873.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

"Review Of Image Segmentation And Its Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp974-981, July-2018, Available at : http://www.jetir.org/papers/JETIR1807873.pdf

Publication Details

Published Paper ID: JETIR1807873
Registration ID: 184718
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 974-981
Country: BHAWANIGARH/SANGRUR, PUNJAB, India .
Area: Engineering
ISSN Number: 2349-5162


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