Texture feature similarity-based roughness intelligent evaluation: a case study applied to milled surfaces
Tianxue Man,
Yuqing Zhou,
Bingtao Sun
et al.
Abstract:Surface roughness is of great significance in maintaining mechanical performance and improving the reliability of the equipment. However, fast surface roughness evaluations that are sufficiently stable and efficient for engineering in-situ use have not yet been realized. To address this issue, an image-driven roughness intelligent method is proposed in this research. By evaluating the texture similarity intelligently between the testing image and the reference image, the surface roughness of the testing image … Show more
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