Combining Segmentation and Edge Detection for Efficient Ore Grain Detection in an Electromagnetic Mill Classification System

This paper presents a machine vision method for detection and classification of copper ore grains. We proposed a new method that combines both seeded regions growing segmentation and edge detection, where region growing is limited only to grain boundaries. First, a 2D Fast Fourier Transform (2DFFT)...

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Detalles Bibliográficos
Autores principales: Budzan, Sebastian, Buchczik, Dariusz, Pawełczyk, Marek, Tůma, Jiří
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515149/
https://www.ncbi.nlm.nih.gov/pubmed/30991763
http://dx.doi.org/10.3390/s19081805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515149/
https://www.ncbi.nlm.nih.gov/pubmed/30991763
http://dx.doi.org/10.3390/s19081805

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