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|1. (WO2018000731) METHOD FOR AUTOMATICALLY DETECTING CURVED SURFACE DEFECT AND DEVICE THEREOF|
|Applicants:||SOUTH CHINA UNIVERSITY OF TECHNOLOGY
|Title:||METHOD FOR AUTOMATICALLY DETECTING CURVED SURFACE DEFECT AND DEVICE THEREOF|
A method for automatically detecting curved surface defect and a device thereof, the method comprising: (1) a training phase: acquiring sample images, constructing a training set, performing manual defect identification on the images in the training set, and marking all areas where defects appear; executing a defect pre-targeting step for each image in the training set, so as to obtain all areas R where the defects may appear; comparing R with all of the manually marked areas where the defects appear, dividing into negative samples and positive samples according to an overlap degree between the two; performing offline training of a deep neural network model according to the positive samples and the negative samples, and outputting types and specific coordinates of defect areas; (2) online detection phase: acquiring current curved surface images to be detected, executing the defect pre-targeting step, obtaining a set R, and inputting the set R into the network model to obtain the types and the specific coordinates of the defect areas. The method and device have the advantages of being highly adaptable and real-time, as well as having a high identification accuracy rate.