Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval

被引：0
|
作者：
Sotoodeh, Mahmood [1 ]
Kohan, Ali [1 ]
Roshanzamir, Mohamad [1 ]
Kumar Jagatheesaperumal, Senthil [2 ]
Reza Chalak Qazani, Mohammad [3 ]
Hassannataj Joloudari, Javad [4 ,5 ,6 ]
Alizadehsani, Roohallah [7 ]
Plawiak, Pawel [8 ,9 ]
机构：
[1] Fasa University, Faculty of Engineering, Department of Computer Engineering, Fasa,74617-81189, Iran
[2] Mepco Schlenk Engineering College, Department of Electronics and Communication Engineering, Sivakasi,626005, India
[3] Sohar University, Faculty of Computing and Information Technology, Sohar,311, Oman
[4] Islamic Azad University, Babol Branch, Department of Computer Engineering, Babol,97136-77478, Iran
[5] University of Birjand, Department of Computer Engineering, Birjand,97174-34765, Iran
[6] Technical and Vocational University (TVU), Department of Computer Engineering, Tehran,14357-61137, Iran
[7] Deakin University, Institute for Intelligent Systems Research and Innovation (IISRI), Geelong,VIC 3216, Australia
[8] Cracow University of Technology, Faculty of Computer Science and Telecommunications, Department of Computer Science, Kraków,31-155, Poland
[9] Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice,44-100, Poland
来源：
IEEE Access | 2024年 / 12卷
关键词：
Color image retrieval - Color image retrieval review - Color local binary pattern - Comparative analyzes - Deep learning - Descriptors - Image analyze - Local binary patterns - Weighted color local binary pattern;
D O I：
10.1109/ACCESS.2024.3486754
中图分类号：
学科分类号：
摘要：
86
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页码：162432 / 162449
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