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Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects
This paper addresses the efficiency of two feature extraction methods for classifying small metal objects including screws, nuts, keys, and coins: the histogram of oriented gradients (HOG) and local binary pattern (LBP). The desired features for the labeled images are first extracted and saved in th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085991/ https://www.ncbi.nlm.nih.gov/pubmed/35534747 http://dx.doi.org/10.1186/s42492-022-00111-6 |