Surface Defect Detection of Optical Components Based on Canny-Harris Corner Detection
To improve the accuracy of surface defect detection of optical components,a method for de-tecting surface defects of optical components based on Canny-Harris corner point detection is proposed.Firstly,the Canny operator based on iterative threshold is used to detect the edge of the image to obtain candidate corner points,so as to reduce the calculation amount of the algorithm;then,the variable window non-maximum suppression method based on local window corner point density is used to remove the pseudo corner points in the candidate corner points to obtain the correct corner points;then,the detected corner points are used for image stitching,and the defective features in the stitched images are extracted by boundary determination method;finally,defect classification is achieved through the calculation of the de-fect's shape factor.Experimental results show that this method can successfully achieve the accurate stitc-hing of sub-aperture images and accurately detect the surface defect information of optical components.
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