| 3/2018 - 12 |
Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)THYAGHARAJAN, K. K.   , KALAIARASI, G. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,458 KB) | Citation | Downloads: 1,281 | Views: 3,466 |
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
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. |
| References | | | Cited By |
Web of Science® Times Cited: 13 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated today
SCOPUS® Times Cited: 23
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated today
[1] Squirrel Search Optimization-based near-duplicate image detection, Sundaram, Srinidhi, Somasundaram, Kamalakkannan, Jayaraman, Sasikala, The Imaging Science Journal, ISSN 1368-2199, 2024.
Digital Object Identifier: 10.1080/13682199.2024.2390793 [CrossRef]
[2] Diagnosis of Neem Leaf Diseases Using Fuzzy-HOBINM and ANFIS Algorithms, K. Thyagharajan, K., Kiruba Raji, I., Computers, Materials & Continua, ISSN 1546-2226, Issue 2, Volume 69, 2021.
Digital Object Identifier: 10.32604/cmc.2021.017591 [CrossRef]
[3] Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing, Liu, Haoran, Liu, Mingzhe, Li, Dongfen, Zheng, Wenfeng, Yin, Lirong, Wang, Ruili, Electronics, ISSN 2079-9292, Issue 20, Volume 11, 2022.
Digital Object Identifier: 10.3390/electronics11203264 [CrossRef]
[4] Random-Coupled Neural Network, Liu, Haoran, Xiang, Mingrong, Liu, Mingzhe, Li, Peng, Zuo, Xue, Jiang, Xin, Zuo, Zhuo, Electronics, ISSN 2079-9292, Issue 21, Volume 13, 2024.
Digital Object Identifier: 10.3390/electronics13214297 [CrossRef]
[5] DSSN: dual shallow Siamese network for fashion image retrieval, Islam, Sk Maidul, Joardar, Subhankar, Sekh, Arif Ahmed, Multimedia Tools and Applications, ISSN 1380-7501, Issue 11, Volume 82, 2023.
Digital Object Identifier: 10.1007/s11042-022-14204-0 [CrossRef]
[6] 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]
[7] Image copy-move forgery passive detection based on improved PCNN and self-selected sub-images, Zhou, Guoshuai, Tian, Xiuxia, Zhou, Aoying, Frontiers of Computer Science, ISSN 2095-2228, Issue 4, Volume 16, 2022.
Digital Object Identifier: 10.1007/s11704-021-0450-5 [CrossRef]
[8] 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, Issue 13, Volume 80, 2021.
Digital Object Identifier: 10.1007/s11042-020-10355-0 [CrossRef]
[9] Bionic visual navigation model for enhanced template matching and loop closing in challenging lighting environments, Xu, Haidong, Yu, Shumei, Sun, Rongchuan, Sun, Lining, Complex & Intelligent Systems, ISSN 2199-4536, Issue 1, Volume 10, 2024.
Digital Object Identifier: 10.1007/s40747-023-01207-z [CrossRef]
[10] 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, Issue 9, Volume 80, 2021.
Digital Object Identifier: 10.1007/s11042-020-10245-5 [CrossRef]
[11] 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 1729-8806, Issue 1, Volume 17, 2020.
Digital Object Identifier: 10.1177/1729881419897473 [CrossRef]
[12] Residual VGGNet for Unveiling Optimal Process Parameters of Oil Rig Welding Through Mathematical Modeling and Optimization, Dhas, John T Mesia, Saikia, Utpal, Arun, K K, Josphine, C.Vimala, Kingslin, M.Theodore, Padmavathi, N, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), ISBN 979-8-3503-7024-9, 2024.
Digital Object Identifier: 10.1109/ICCCNT61001.2024.10724948 [CrossRef]
[13] 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]
[14] A Ensemble Deep Learning approach on risk management in finance and marketing sector, Chairma Lakshmi, K R, Ratnaraju, P., Sharma, Sumit Kumar, Nalagandla, Rambabu, Pattnaik, Manjula, Kamalarajan, P, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), ISBN 979-8-3503-7024-9, 2024.
Digital Object Identifier: 10.1109/ICCCNT61001.2024.10723956 [CrossRef]
Updated today
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
