Homomorphic partial differential equation filtering method for electronic speckle pattern interferometry fringes based on fringe density  

作　　者：张芳 刘文耀 夏琳 王晋疆 朱越 

机构地区：[1]College of Precise Instrument and Optical Electronic Engineering,Tianjin University [2]Key Laboratory of Opto-Electronics Information Technical Science,Ministry of Education

出　　处：《Chinese Optics Letters》2009年第3期210-213,共4页中国光学快报（英文版）

摘　　要：Noise reduction is one of the most exciting problems in electronic speckle pattern interferometry. We present a homomorphic partial differential equation filtering method for interferometry fringe patterns. The diffusion speed of the equation is determined based on the fringe density. We test the new method on the computer-simulated fringe pattern and experimentally obtain the fringe pattern, and evaluate its filtering performance. The qualitative and quantitative analysis shows that this technique can filter off the additive and multiplicative noise of the fringe patterns effectively, and avoid blurring high-density fringe. It is more capable of improving the quality of fringe patterns than the classical filtering methods.Noise reduction is one of the most exciting problems in electronic speckle pattern interferometry. We present a homomorphic partial differential equation filtering method for interferometry fringe patterns. The diffusion speed of the equation is determined based on the fringe density. We test the new method on the computer-simulated fringe pattern and experimentally obtain the fringe pattern, and evaluate its filtering performance. The qualitative and quantitative analysis shows that this technique can filter off the additive and multiplicative noise of the fringe patterns effectively, and avoid blurring high-density fringe. It is more capable of improving the quality of fringe patterns than the classical filtering methods.

关 键 词：Computational fluid dynamics Image quality INTERFEROMETERS Interferometry Moire fringes Partial differential equations SPECKLE 

分 类 号：TN713[电子电信—电路与系统]