UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1812851


Registration ID:
193851

Page Number

310-313

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Title

A Review On Edge Detection Techniques For MR image Analysis

Abstract

A new era of evaluation techniques and application procedures in various different fields is greatly envisioned by the advancements in the field of image processing. Image processing has been evolved basically to achieve better interpretation of images by human and for data storage, analysis and transfer. In that, Edge Detection is one of the most important and commonly used operations in image analysis and computer vision and there are probably many image processing algorithms for detecting edges. In this paper, various edge detectors like Canny, Sobel, Roberts, Log and Prewitt are compared and analyzed so as to detect the presence of tumor in MRI brain tumor images as accurately as possible.

Key Words

Edge Detection, MRI brain tumor image

Cite This Article

"A Review On Edge Detection Techniques For MR image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.310-313, December-2018, Available :http://www.jetir.org/papers/JETIR1812851.pdf

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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 Edge Detection Techniques For MR image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp310-313, December-2018, Available at : http://www.jetir.org/papers/JETIR1812851.pdf

Publication Details

Published Paper ID: JETIR1812851
Registration ID: 193851
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 310-313
Country: Pallavaram,Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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