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...

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Detalles Bibliográficos
Autores principales: Amraee, Somaieh, Chinipardaz, Maryam, Charoosaei, Mohammadali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
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

Internet

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

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