GAO Xin, LIU Yinhua, XU Yurui. Reflective arc surface defect detection based on template matching and deep learning[J]. 2020, (10): 135-137+141. DOI: 10.13873/J.1000-9787(2020)10-0135-03.
Aimiong at the problem that it is very difficult to detect the defect of reflective arc surface due to the surface of reflective arc surface has strong reflective characteristics
a detection method based on template matching and deep learning is proposed. Under the condition of smooth diffuse illumination
stripe texture features are obtained from different angles
the contour is obtained by image processing. It is matched with the standard feature contour template and recognition. The obtained images can also be made into datasets
and a deep learning model is trained to identify the defects of the obtained images. Experimental result show that the detection methods based on template matching and deep learning can effectively identify defects.