Content-Based Image Retrieval Using SOM and DWT

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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"Content-Based Image Retrieval Using SOM and DWT"
written by Ammar Huneiti, Maisa Daoud,
published by Journal of Software Engineering and Applications, Vol.8 No.2, 2015

has been cited by the following article(s):

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[11]	Improvement of Accuracy of Content-Based Image Retrieval using Local and Statistical Methods.
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[12]	Image Retrieval Based on Self-Organizing Feature Map and Multilayer Perceptron Neural Networks Classifier
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[15]	Integration of global and local features based on hybrid similarity matching scheme for medical image retrieval system
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[16]	Improvement of Accuracy of Content-Based Image Retrieval Using Local and Statistical Methods
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[17]	Support Vector Machine (Linear Kernel) and Interactive Genetic Algorithm-Based Content Image Retrieval Technique
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[18]	CBIR Using Support Vector Machine in OpenCV
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[19]	An Efficient Classification Algorithms for Image Retrieval Based Color and Texture Features
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[20]	Content Based Image Retrieval: A Review
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[28]	Novel System for Color Logo Recognition Using Optimization and Learning Based Relevance Feedback Technique
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[29]	Content Based Image Retrieval Using Color Histogram and Wavelet Based Color Histogram (WBCH) Algorithms
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[30]	An efficient fast-response content-based image retrieval framework for big data
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[31]	Content Based Image Retrieval System
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[32]	A novel technique for content based image retrieval using color, texture and edge features
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[33]	An Integrated Framework to Image Retrieval Using L* a* b Color Space and Local Binary Pattern
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[2]	NOVEL CBIR System Using Spark MAP-Reduce with a Firefly Macqueen’s K-Means Clustering Algorithm IETE Journal of Research, 2023 DOI:10.1080/03772063.2021.2016502

[3]	NOVEL CBIR System Using Spark MAP-Reduce with a Firefly Macqueen’s K-Means Clustering Algorithm IETE Journal of Research, 2022 DOI:10.1080/03772063.2021.2016502

[4]	Information Systems and Technologies Lecture Notes in Networks and Systems, 2022 DOI:10.1007/978-3-031-04819-7_18

[5]	Novel content based medical image retrieval based on BoVW classification method Biomedical Signal Processing and Control, 2022 DOI:10.1016/j.bspc.2022.103678

[6]	Novel content based medical image retrieval based on BoVW classification method Biomedical Signal Processing and Control, 2022 DOI:10.1016/j.bspc.2022.103678

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[8]	Diabetes and Fundus OCT 2020 DOI:10.1016/B978-0-12-817440-1.00004-8

[9]	Image Retrieval Based on Self-Organizing Feature Map and Multilayer Perceptron Neural Networks Classifier 2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS), 2019 DOI:10.1109/ICICIS46948.2019.9014768

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[11]	Proceedings of International Conference on Recent Advancement on Computer and Communication Lecture Notes in Networks and Systems, 2018 DOI:10.1007/978-981-10-8198-9_16

[12]	Content Retrieval using Hybrid Feature extraction from Query Image 2018 International Conference on Information , Communication, Engineering and Technology (ICICET), 2018 DOI:10.1109/ICICET.2018.8533700

[13]	Content‐based image retrieval based on binary signatures cluster graph Expert Systems, 2018 DOI:10.1111/exsy.12220

[14]	Novel System for Color Logo Recognition Using Optimization and Learning Based Relevance Feedback Technique International Journal of Computer Vision and Image Processing, 2017 DOI:10.4018/IJCVIP.2017100103

[15]	Recent Trends in Image Processing and Pattern Recognition Communications in Computer and Information Science, 2017 DOI:10.1007/978-981-10-4859-3_25

[16]	Content-based image retrieval based on binary signatures cluster graph Expert Systems, 2017 DOI:10.1111/exsy.12220

[17]	An efficient fast-response content-based image retrieval framework for big data Computers & Electrical Engineering, 2016 DOI:10.1016/j.compeleceng.2016.04.015

[18]	A novel technique for content based image retrieval using color, texture and edge features 2016 International Conference on Communication and Electronics Systems (ICCES), 2016 DOI:10.1109/CESYS.2016.7889955

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