Research on a Speckle Pattern Registration Algorithm based on Minimum Mean Square Error Method
Wu Ying · Mechanical Management and Development · 2011
Based on the theory of the minimum mean square error, one kind of sub-pixel speckle pattern registration algorithm is presented and investigated. According to the orthogonality principle for linear estimators, the analytic expressions of the object function are developed for image registration. 5 columns of the speckle pattern series with the length of 40 frames are generated utilizing the rigid body displacement model and modeling method to simulate speckle patterns. Furthermore, under the conditions of the non-noise and different additive Gaussian noise degradations, a large number of experiments are implemented to inspect the effectiveness of the proposed algorithm. The experiment results show that the registration trace of the image series presents the favorable features including linearity, system and random error without the noise disturbing, while the presented algorithm does not work if SNR is less than 10dB and the influence of the registration resolutions from the noise disturbing will be gradually decreased with the increasing of SNR.