摘要
介绍了变分图像分解图像处理方法的基本原理、常用的函数空间及变分图像分解模型。回顾了近几年变分图像分解图像处理方法在电子散斑干涉(ESPI)信息提取技术中的应用成果,包括应用变分图像分解图像处理方法实现ESPI条纹图的滤波处理、ESPI条纹图方向和密度的计算和ESPI条纹图骨架线的提取。介绍了这些方法相较于传统方法的优势,并进一步展望了变分图像分解图像处理方法在光测技术中的发展趋势。
The basic principle of image processing methods based on variational image decomposition, the common functional spaces, and the variational image decomposition models are introduced. We review the applications o{ information extraction technologies based on variational image decomposition for electronic speckle pattern interferometry （ESPI） in recent years, including the filtering process, orientation and density calculation, and skeleton line extraction of the fringes. The advantages of the mentioned methods compared with that of traditional methods are given and the development trend of the image processing methods based on variational image decomposition in optical measurement is further illustrated.
作者
唐晨
陈明明
陈霞
李碧原
雷振坤
Tang ChenI, Chen MingmingI, Chen Xia2, Li Biyuan1, Lei Zhenkun3(1 School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China ; 2 School of Science, Tianjin University, Tianjin 300072, China ; 3 State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology Dalian, Liaoning 116024, Chin)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2018年第3期22-32,共11页
Acta Optica Sinica
基金
国家自然科学基金(61177007
11472070
11772081)
关键词
遥感
条纹分析
变分图像分解
电子散斑干涉
骨架线
remote sensing
fringe analysis
variational image decomposition
electronic speckle pattern interferometry
skeleton line
