Content-based image retrieval system using ORB and SIFT features-Reference-Cited by-同舟云学术

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Content-based image retrieval system using ORB and SIFT features

Published:2018-08-18 Issue:7 Volume:32 Page:2725-2733
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chhabra Payal,Garg Naresh Kumar,Kumar Munish

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3677-9.pdf

Reference6 articles.

1. Alhassan AK, Alfaki AA (2017) Color and texture fusion-based method for content-based image retrieval. In: Proceedings of the international conference on communication, control, computing and electronics engineering (ICCCCEE), Khartoum, Sudan

2. Fadaei S, Amirfattahi R, Ahmadzadeh MR (2017) A new content-based image retrieval system based on optimized integration of DCD, wavelet and curvelet features. IET Image Process 11(2):89–98

3. Giveki D, Soltanshahi MA, Montazer GA (2017) A new image feature descriptor for content based image retrieval using scale invariant feature transform and local derivative pattern. Opt Int J Light Electron Opt 131:242–254

4. Kaur M, Sohi N (2016) A novel technique for content based image retrieval using color, texture and edge feature. In: Proceedings of the international conference on communication and electronics systems (ICCES)

5. Peizhong L, Guo J, Chamnongthai K, Prasetyo H (2017) Fusion of color histogram and LBP-based features for texture image retrieval and classification. Inf Sci 390:95–111

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