Fast digital image displacement measurement algorithm: theoretical analysis and simulation

Min Wan; John J. Healy; John T. Sheridan

doi:10.1117/12.2589228

18 April 2021 Fast digital image displacement measurement algorithm: theoretical analysis and simulation

Min Wan, John J. Healy, John T. Sheridan

Proceedings Volume 11774, Holography: Advances and Modern Trends VII; 117740J (2021) https://doi.org/10.1117/12.2589228
Event: SPIE Optics + Optoelectronics, 2021, Online Only

Abstract

Many image processing applications require a quantitative estimation of underlying correspondence (of relative position in space) between two or more images. Here, we propose a novel, less numerically intensive method, which we refer to as the Subtraction Method, to measure in-plane object motion with sub-pixel accuracy. This method can be usefully employed in conjunction with correlation to provide fine motion information very quickly (100 times faster). In this paper we demonstrate, explain, and examine the proposed method using simulated digital image data. Subpixel motion of discrete Gaussian function, four different digital images and speckle image are determined. Performance is compared to that of correlation.

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Min Wan, John J. Healy, and John T. Sheridan "Fast digital image displacement measurement algorithm: theoretical analysis and simulation", Proc. SPIE 11774, Holography: Advances and Modern Trends VII, 117740J (18 April 2021); https://doi.org/10.1117/12.2589228

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