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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 55 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
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2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  3/2018 - 12

 HIGHLY CITED PAPER 

Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)

THYAGHARAJAN, K. K. See more information about THYAGHARAJAN, K. K. on SCOPUS See more information about THYAGHARAJAN, K. K. on IEEExplore See more information about THYAGHARAJAN, K. K. on Web of Science, KALAIARASI, G. See more information about KALAIARASI, G. on SCOPUS See more information about KALAIARASI, G. on SCOPUS See more information about KALAIARASI, G. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,458 KB) | Citation | Downloads: 451 | Views: 1,373

Author keywords
computer vision, copyright protection, feature extraction, image processing, neural networks

References keywords
image(46), neural(29), detection(22), duplicate(19), pulse(18), coupled(18), networks(12), network(12), retrieval(11), forgery(11)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 87 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03012
Web of Science Accession Number: 000442420900012
SCOPUS ID: 85052054688

Abstract
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Near Duplicate images are variants of original image with some transformations / manipulations / forgeries in it. The illegal copies of images are identified to protect copyright enforcement and reduce redundancy. The existing works in ND detection are less accurate in the identification of similar images as near duplicates. Pulse Coupled Neural Network (PCNN) is found to be a suitable processor for all the image processing techniques including feature extraction. In this paper, PCNN is applied in the detection of near duplicate (ND) images. The proposed work Pulse Coupled Neural Network based Near Duplicate Detection of Images (PCNN-NDD) is a two-step process (1) feature extraction using PCNN and (2) fast image similarity measurement using correlation coefficient. Our system is capable of improving the accuracy effectively. The advantage of the proposed work lies in the proper setting of PCNN parameters to identify the similar images. The experimental results show that our PCNN-NDD system enhances the detection results and improves the accuracy when compared to other traditional systems.


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Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 7
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Cited-By CrossRef

[1] Visual link retrieval and knowledge discovery in painting datasets, Castellano, Giovanna, Lella, Eufemia, Vessio, Gennaro, Multimedia Tools and Applications, ISSN 1380-7501, Issue 5, Volume 80, 2021.
Digital Object Identifier: 10.1007/s11042-020-09995-z
[CrossRef]

[2] Weber’s law based multi-level convolution correlation features for image retrieval, Yu, LaiHang, Liu, NingZhong, Zhou, WenGang, Dong, Shi, Fan, Yu, Abbas, Khushnood, Multimedia Tools and Applications, ISSN 1380-7501, 2021.
Digital Object Identifier: 10.1007/s11042-020-10355-0
[CrossRef]

[3] Defining a no-reference image quality assessment by means of the self-affine analysis, Escobar, Jesús Jaime Moreno, Matamoros, Oswaldo Morales, Reyes, Ixchel Lina, Padilla, Ricardo Tejeida, Hernández, Liliana Chanona, Multimedia Tools and Applications, ISSN 1380-7501, 2021.
Digital Object Identifier: 10.1007/s11042-020-10245-5
[CrossRef]

[4] Fruit recognition based on pulse coupled neural network and genetic Elman algorithm application in apple harvesting robot, Jia, Weikuan, Mou, Shanhao, Wang, Jing, Liu, Xiaoyang, Zheng, Yuanjie, Lian, Jian, Zhao, Dean, International Journal of Advanced Robotic Systems, ISSN 1729-8814, Issue 1, Volume 17, 2020.
Digital Object Identifier: 10.1177/1729881419897473
[CrossRef]

[5] Intensity based Image Registration on Brain MRI Images, Devadas, Prathima, Kalaiarasi, G., Selvi, M., 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), ISBN 978-1-7281-5374-2, 2020.
Digital Object Identifier: 10.1109/ICIRCA48905.2020.9183191
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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