Machine learning versus human-developed algorithms in image analysis of microstructures / Adam Piwowarczyk, Leszek Wojnar // W: QPI 2019: Quality Production Improvement / eds. Robert Ulewicz, Branislav ... więcej

Machine learning versus human-developed algorithms in image analysis of microstructures / Adam Piwowarczyk, Leszek Wojnar // W: QPI 2019: Quality Production Improvement / eds. Robert Ulewicz, Branislav Hadzima. – Warsaw : Walter de Gruyter (Sciendo), 2019. – S. 412-416 : rys., tab. – Bibliogr. s. 416, Abstr. – Mat konf.: 13th International Conference Quality Production Improvement - QPI 2019, Zaborze near Myszków, 5-7.06.2019. – ISBN 978-3-11-068058-4 (print). – ISBN 978-3-11-068059-1 (ebook pdf)

Automatic image analysis is nowadaysa standard method in quality control of metallic materials, especially in grain size, graphite shape and non-metallic content evaluation. Automatically prepared solutions, ... więcej

Automatic image analysis is nowadaysa standard method in quality control of metallic materials, especially in grain size, graphite shape and non-metallic content evaluation. Automatically prepared solutions, based on machine learning, constitute an effective and sufficiently precise tool for classification. Human-developed algorithms, on the other hand, require much more experience in preparation, but allow better control of factors affecting the final result. Both attempts were described and compared.