Automatic detection of defective crankshafts by image analysis and supervised classification

• DOI: 10.1007/s00170-019-03819-7
• Publication Date: 2019-05-16T05:50:00Z
• Authors: Beatriz Remeseiro; Javier Tarrío-Saa...; Mario Francisco-F...; Manuel G. Penedo; Salvador Naya; Ricardo Cao
• Keywords: Piston (optics)

This work has been partially supported by the Xunta de Galicia (Centro Singular de Investigaciòn de Galicia ED431G/01). Additionally, the research of Ricardo Cao, Mario Francisco-Fernández, Salvador Naya and Javier Tarrío Saavedra has been partially supported by MINECO grants MTM2014-52876-R and MTM2017-82724-R, and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-015); whilst the research of Manuel G. Penedo has been partially supported by grants Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-047), all the previous grants through the ERDF. This work has been also supported by FORJACEMIC project (Research into new processes and microalloyed steels for hot forging of automotive crankshafts).