Evolutionary-based generation of rotation and scale invariant texture descriptors from SIFT keypoints
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-021-09386-1.pdf
Reference45 articles.
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2. Al-Sahaf H, Zhang M, Johnston M, Verma B (2015) Image descriptor: a genetic programming approach to multiclass texture classification. In: IEEE Congress on Evolutionary Computation (CEC), IEEE, pp 2460–2467
3. Al-Sahaf H, Al-Sahaf A, Xue B, Johnston M, Zhang M (2016) Automatically evolving rotation-invariant texture image descriptors by genetic programming. IEEE Trans Evol Comput 21(1):83–101. https://doi.org/10.1109/TEVC.2016.2577548
4. Al-Sahaf H, Zhang M, Al-Sahaf A, Johnston M (2017) Keypoints detection and feature extraction: a dynamic genetic programming approach for evolving rotation-invariant texture image descriptors. IEEE Trans Evolut Comput 21(6):825–844
5. Amirolad A, Arashloo SR, Amirani MC (2016) Multi-layer local energy patterns for texture representation and classification. Vis Comput 32(12):1633–1644
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