Content Based Image Retrieval System Based on Deep Convolution Neural Network Model by Integrating Three-Fold Geometric Augmentation
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Link
https://link.springer.com/content/pdf/10.3103/S1060992X21030061.pdf
Reference24 articles.
1. Byju, A.P., Demir, B., and Bruzzone, L., A progressive content-based image retrieval in JPEG 2000 compressed remote sensing archives, IEEE Trans. Geosci. Remote Sens., 2020, vol. 58, no. 8, pp. 5739–5751.
2. Shawky, O.A., Hagag, A., El-Dahshan, E.S.A., and Ismail, M.A., Remote sensing image scene classification using CNN-MLP with data augmentation. Optik, 2020, 221, pp. 165356.
3. Sezer, A. and Sezer, H.B., Deep convolutional Neural Network-Based automatic classification of neonatal hip ultrasound images: A novel data augmentation approach with speckle noise reduction, Ultrasound Med. Biol., 2020, vol. 46, no. 3, pp. 735–749.
4. Ramos, J., Kockelkorn, T.T., Ramos, I., Ramos, R., Grutters, J., Viergever, M.A., van Ginneken, B., and Campilho, A., Content-based image retrieval by metric learning from radiology reports: application to interstitial lung diseases. IEEE J. Biomed. Health Inform., 2014, vol. 20, no. 1, pp. 281–292.
5. Yang, X., Qian, X., and Xue, Y., Scalable mobile image retrieval by exploring contextual saliency, IEEE Trans. Image Process., 2015, vol. 24, no. 6, pp. 1709–1721.
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