A new surface roughness measurement method based on QR-SVM
Xiaofeng Yu,
Zhengminqing Li,
Wei Sheng
et al.
Abstract:This study proposes a method for detecting surface roughness in machining, which solves the problem of low detection accuracy caused by a small sample size based on machine vision detection. The fusion of QR and Support Vector Machine (SVM) methods is used to detect surface roughness. Firstly, a contact roughness detector is used to measure the surface roughness value, and a CCD is used to obtain the processed surface image to obtain the sample. Secondly, the QR decomposition method is improved to generate vir… Show more
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