软件导刊2025，Vol.24Issue(3)：154-161,8.DOI:10.11907/rjdk.241050
基于超分辨率的微小孔径尺寸测量方法
Method for Measuring Micro Aperture Size Based on Super-resolution
摘要
Abstract
The task of detecting small aperture images includes detecting the size,shape,surface features,and positional accuracy of holes,among which aperture size measurement is one of the crucial and high-precision tasks.In the process of image measurement,problems such as low image quality are common due to high cost of image acquisition systems and limited acquisition environments.In recent years,significant progress has been made in super-resolution technology based on reference images,especially in restoring high-frequency details,which pro-vides an effective way to improve image quality.This article proposes an innovative super-resolution method to improve image measurement ac-curacy,also known as FMGSA.This method uses fast feature matching from coarse to fine and a global self attention mechanism to find the mapping relationship between reference image features and low resolution image features.The experiment proved that the average error of the small aperture measured by the measurement system with the introduction of FMGSA method is only 0.004 mm,and the correct detection rate is 92.98%.Compared with other super-resolution methods,the FMGSA method based on reference images shows the highest measurement ac-curacy,and this study provides a reliable and efficient solution for measuring small aperture images.关键词
超分辨率重建/图像测量/深度学习/微小孔径测量Key words
super resolution reconstruction/image measurement/deep learning/micro aperture measurement分类
信息技术与安全科学引用本文复制引用
冯佳星,许开航,陈建宇,龚津南..基于超分辨率的微小孔径尺寸测量方法[J].软件导刊,2025,24(3):154-161,8.基金项目
国家自然科学基金项目(62003058) （62003058）
四川省自然科学基金项目(2021YJ0165) （2021YJ0165）
