Content Based Image Retrieval Based on Feature Fusion and Support Vector Machine
Author:
Affiliation:
1. University of Baghdad,Department of Computer Engineering,Baghdad,Iraq
2. School of Computer Science and Mathematics, Liverpool John Moores University,Liverpool,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9718563/9719327/09719539.pdf?arnumber=9719539
Reference63 articles.
1. Fast and efficient recursive algorithm of Meixner polynomials
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3. An efficient framework for image retrieval using color, texture and edge features
4. Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform
5. An efficient image retrieval framework using fused information feature
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1. Deep Analysis of Machine Learning Techniques for the Effective Retrieval of Images Based on Content;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
2. An image retrieval method based on fusion of multiple features;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10
3. An Effective Hybrid Framework Based on Combination of Color and Texture Features for Content-Based Image Retrieval;Arabian Journal for Science and Engineering;2023-07-11
4. Content‐based image retrieval using a fusion of global and local features;ETRI Journal;2023-01-16
5. A Comparative Study of Reduction Methods Applied on a Convolutional Neural Network;Electronics;2022-04-28
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