机械与电子2024，Vol.42Issue(8)：26-33,8.
基于Canny-Harris角点检测的光学元件表面疵病检测
Surface Defect Detection of Optical Components Based on Canny-Harris Corner Detection
摘要
Abstract
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.关键词
光学元件/疵病检测/Canny-Harris算法/图像拼接/疵病识别Key words
optical component/defect detection/Canny-Harris algorithm/image stitching/defect recog-nition分类
机械制造引用本文复制引用
王赛赛,周阿维..基于Canny-Harris角点检测的光学元件表面疵病检测[J].机械与电子,2024,42(8):26-33,8.基金项目
陕西省自然科学基础研究计划资助项目(2018JQ5180) （2018JQ5180）
