Assessing particle kinematics via template matching algorithms

作     者：Weber, M. Fink, M. Fortov, V. Lipaev, A. Molotkov, V. Morfill, G. Petrov, O. Pustylnik, M. Thoma, M. Thomas, H. Usachev, A. Raeth, C. 

作者机构：Deutsch Zentrum Luft & Raumfahrt Forsch Grp Komplexe Plasmen Argelsrieder Feld 1a D-82234 Wessling Germany Univ Munich Geschwister Scholl Pl 1 D-80539 Munich Germany Russian Acad Sci JIHT Joint Inst High Temp Izhorskaya St 13 Bd 2 Moscow 125412 Russia Max Planck Inst Extraterr Phys D-85748 Garching Germany Univ Giessen Goethest 58 D-35390 Giessen Germany 

出 版 物：《OPTICS EXPRESS》 (Opt. Express)

年 卷 期：2016年第24卷第8期

页      面：7987-8012页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：DLR [50WM1441, 50WM1442] Russian Science Foundation [14-12-01235, 14-43-00053] Russian Science Foundation [14-43-00053, 14-12-01235] Funding Source: Russian Science Foundation 

主　　题：Image registration Imaging systems Medical image processing Speckle noise Synthetic aperture radar X ray imaging 

摘      要：Template matching algorithms represent a viable tool to locate particles in optical images. A crucial factor of the performance of these methods is the choice of the similarity measure. Recently, it was shown in [Gao and Helgeson, Opt. Express 22 (2014)] that the correlation coefficient (CC) leads to good results. Here, we introduce the mutual information (MI) as a nonlinear similarity measure and compare the performance of the MI and the CC for different noise scenarios. It turns out that the mutual information leads to superior results in the case of signal dependent noise. We propose a novel approach to estimate the velocity of particles which is applicable in imaging scenarios where the particles appear elongated due to their movement. By designing a bank of anisotropic templates supposed to fit the elongation of the particles we are able to reliably estimate their velocity and direction of motion out of a single image. (C) 2016 Optical Society of America