Texture classification for visual data using transfer learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14276-y.pdf
Reference44 articles.
1. Ahmadvand A, Daliri MR (2016) Invariant texture classification using a spatial filter bank in multi-resolution analysis. Image Vis Comput 45:1–10. https://doi.org/10.1016/j.imavis.2015.10.002
2. Andrearczyk V, Whelan P (2016) Using filter banks in convolutional neural networks for texture classification. Pattern Recogn Lett 84:63–69. https://doi.org/10.1016/j.patrec.2016.08.016
3. Arora V, Ng EYK, Leekha RS, Darshan M, Singh A (2021) Transfer learning-based approach for detecting covid-19 ailment in lung ct scan. Comput Biol Med 135:104575. https://doi.org/10.1016/j.compbiomed.2021.104575
4. Brodatz P (1966) Textures: A photographic album. Accessed June 2021. http://sipi.usc.edu/database/database.php?volume=textures
5. Di Ruberto C (2017) Histogram of radon transform and texton matrix for texture analysis and classification. IET Image Process 11(9):760–766. https://doi.org/10.1049/iet-ipr.2016.1077
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