公开(公告)号：US20230304941A1

公开(公告)日：2023-09-28

申请号：US18019623

申请日：2021-08-02

申请人： BYK-Chemie GmbH

发明人： Nikolay Kladt ,  Jörg Hinnerwisch ,  Brigitte Dicke ,  Christopher Groh ,  Manfred Knospe ,  Volker Thyssen-Wallner ,  Petra Della Valentina

IPC分类号： G01N21/88

CPC分类号： G01N21/8851 ,  G01N2021/8887 ,  G01N2021/8854

摘要： The invention relates to a method for providing a system for assessing a coated surface with respect to a type set containing at least one type of surface defect that can occur on the surface, to such a system for assessing a coated surface, to a measuring device for acquiring an image of a coated surface including such a system, and to a method for assessing a coated surface using such a system. The system can use a convolutional neural network (CNN), in particular the so-called U-Net architecture, to recognize the at least one surface defect in an image provided to the system. Moreover, the system can use a support vector machine algorithm to provide, based on the recognition results, quantitative and/or qualitative information about the depiction of the at least one surface defect in the image provided to the system.