Impact of Feature Extraction Techniques on a CBIR System-Reference-Cited by-同舟云学术

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Impact of Feature Extraction Techniques on a CBIR System

Published:2019 Issue: Volume: Page:338-348
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Raghuwanshi Ghanshyam,Tyagi Vipin

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9939-8_30

Reference54 articles.

1. Dubey, S.R., Singh, S.K., Singh, R.K.: Rotation and scale invariant hybrid image descriptor and retrieval. Comput. Electr. Eng. 46, 288–302 (2015)

2. Fadaei, S., Amirfattahi, R., Ahmadzadeh, M.R.: New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features. IET Image Proc. 11(2), 89–98 (2017)

3. Yildizer, E., Balci, A.M., Jarada, T.N., Alhajj, R.: Integrating wavelets with clustering and indexing for effective content-based image retrieval. Knowl.-Based Syst. 31, 55–66 (2012)

4. Kumar, K.M., Chowdhury, M., Bulo, S.R.: A graph-based relevance feedback mechanism in content-based image retrieval. Knowl.-Based Syst. 73, 254–264 (2015)

5. Jain, A.K., Vailaya, A.: Image retrieval using colour and shape. Pattern Recogn. 29(8), 1233–1244 (1996)

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