Analytical Study of Two Feature Extraction Methods in Comparison with Deep Learning Methods for Classification of Small Metal Objects
Published in Visual Computing for Industry, Biomedicine, and Art (Springer Nature), 5(1), 13, 2022
Recommended citation: Amraee, S., Chinipardaz, M., and Charoosaei, M. (2022). Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects. Visual Computing for Industry, Biomedicine, and Art, 5(1), 13. https://doi.org/10.1186/s42492-022-00111-6
This work compares HOG and LBP feature extraction with machine-learning classifiers and deep-learning methods for small metal-object classification.