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:
JETIR1908667


Registration ID:
226326

Page Number

378-384

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Title

APPLICATION OF DEEP NEURAL NETWORK IN EDGE DETECTION

Abstract

Edge detection has a significant role in Image processing and computer vision. Conventional techniques are not able to get the clarity required for computer vision type of applications. Deep Neural networks based on convolution offer substantial clarity over the known detectors.

Key Words

DNN, ANN, NN, Edge detection, Robust, Sobel, Canny

Cite This Article

"APPLICATION OF DEEP NEURAL NETWORK IN EDGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.378-384, June 2019, Available :http://www.jetir.org/papers/JETIR1908667.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

"APPLICATION OF DEEP NEURAL NETWORK IN EDGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp378-384, June 2019, Available at : http://www.jetir.org/papers/JETIR1908667.pdf

Publication Details

Published Paper ID: JETIR1908667
Registration ID: 226326
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 378-384
Country: gajapati, odisha, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1908667
Published Paper PDF: https://www.jetir.org/papers/JETIR1908667

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