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：

引用

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页码：162432 / 162449

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