摘要
本文介绍了神经卷积网络及超分辨率图像处理技术在钢卷尺检定中的应用,通过图像评估指标的数据比较,处理后的图像质量得到明显改善,为提高影像测量的准确性奠定技术基础。
This paper introduces the application of neural convolutional network and super-resolution image processing technology in the verification of steel tape measure.By comparing the data of image evaluation indexes,the image quality after processing has been significantly improved,which lays a technical foundation for improving the accuracy of image measurement.
作者
何国颂
邓水平
何长义
HE Guosong;DENG Shuiping;HE Changyi
出处
《计量与测试技术》
2022年第4期59-62,共4页
Metrology & Measurement Technique
关键词
超分辨率
神经卷积网络
super-resolution
neural convolutional network
