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

作　　者：冯佳星 许开航 陈建宇 龚津南 FENG Jiaxing;XU Kaihang;CHEN Jianyu;GONG Jinnan(School of Computer Science,Chengdu University of Information Technology,Chengdu 610225,China;Chengdu Dimaiwoke Optoelectronic Technology Co.LTD,Chengdu 610051,China)

机构地区：[1]成都信息工程大学计算机学院,四川成都610225 [2]成都迪迈沃科光电科技有限公司,四川成都610051

出　　处：《软件导刊》2025年第3期154-161,共8页Software Guide

基　　金：国家自然科学基金项目(62003058);四川省自然科学基金项目(2021YJ0165)。

摘　　要：微小孔径图像检测任务包括检测孔的尺寸、形状、表面特征和位置精度等,其中孔径尺寸测量至关重要,对精度要求很高。然而图像测量过程中,图像采集系统成本高,加上采集环境限制等导致的图像质量低下等问题普遍存在。近年来,基于参考图像的超分辨率技术取得了显著进展,尤其是在恢复高频细节方面具备较大优势,为提高图像质量提供了有效途径。鉴于此,提出一种创新的超分辨率方法FMGSA以改良图像测量精度,通过由粗到细的特征快匹配和全局自注意力机制,寻找参考图像特征到低分辨率图像特征的映射关系。实验证明,引入FMGSA方法的测量系统所测得的微小孔径平均误差只有0.004 mm,正确检出率为92.98%。与其他超分辨率方法相比,基于参考图像的FMGSA方法表现出较高的测量精度,这项研究为微小孔径图像测量提供了可靠且高效的解决方案。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 provides an effective way to improve image quality.This article proposes an innovative super-resolution method to improve image measurement accuracy,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 accuracy,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 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]