Image Retrieval Based on Texture Using Local Binary Pattern and Local Phase Quantization-Reference-Cited by-同舟云学术

Image Retrieval Based on Texture Using Local Binary Pattern and Local Phase Quantization

Published:2021 Issue: Volume: Page:53-61
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
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Author:

Dolly Bably,Raj Deepa

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6307-6_7

Reference18 articles.

1. S. Ramamoorthy, et al., Texture feature extraction using MGRLBP method for medical image classification. Adv. Intell. Syst. Comput. (2015)

2. L. Ji, Y. Ren, G. Liu, et al., Training-based gradient LBP feature models for multiresolution texture classification. IEEE Trans. Cybern. 1, 2168–2267 (2017)

3. C.-H. Lin, C.-W. Liu, et al., Image retrieval and classification using adaptive local binary patterns based on texture features. IET Image Process. 6(7), 822–830 (2012)

4. M.H. Rahman, M.R. Pickering, et al., Texture feature extraction method for scalen and rotation invariant image retrieval. Electron. Lett. 48(11) (2012)

5. B. Zhang, B.V.K. Vijaya Kumar, et al., Detecting Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy using Tongue Color, Texture, and Geometry Features (IEEE, 2013). TBME-01811-2012.R2

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