Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear

In this paper, a novel approach to evaluation of feature extraction methodologies is presented. In the case of machine learning algorithms, extracting and using the most efficient features is one of the key problems that can significantly influence overall performance. It is especially the case with...

Descripción completa

Detalles Bibliográficos
Autores principales: Antoniuk, Izabella, Kurek, Jarosław, Krupa, Artur, Wieczorek, Grzegorz, Bukowski, Michał, Kruk, Michał, Jegorowa, Albina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918907/
https://www.ncbi.nlm.nih.gov/pubmed/36772151
http://dx.doi.org/10.3390/s23031109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918907/
https://www.ncbi.nlm.nih.gov/pubmed/36772151
http://dx.doi.org/10.3390/s23031109

Ejemplares similares