On the determination of optimal window for registration of nonlinear distributed images

Fleming Yuan Ming Lure

doi:10.1117/12.45390

1 June 1991 On the determination of optimal window for registration of nonlinear distributed images

Fleming Yuan Ming Lure

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45390
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

Determination of an optimal window to improve the performance for registering nonlinear distorted images using a cross-correlation technique is presented in this paper. A 2D cross-correlation technique is applied to two meteorological radar images (the search and reference images) which possess the characteristics of nonlinearity, geometric distortion, and ever-evolving pattern. Various sizes of concentric square windows of the reference image are used for computing the cross- correlation field. Parameters of cross-correlation field such as peak value, location of the peak, and standard deviation are determined. The location of the peak correlation, instead of its peak value, is chosen as an indicator which best describes the performance of registration, since the location remains unchanged for certain sizes of the window. This location represents the translation shift of the images or the offset of the registration. These windows cover a major portion of the autocorrelation area of the reference image. The standard deviation of the cross-correlation field between search and references images its maximum for these window sizes which are considered as optimal.

Citation Download Citation

Fleming Yuan Ming Lure "On the determination of optimal window for registration of nonlinear distributed images", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45390

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KEYWORDS

Image registration

Image processing

Radar

Meteorology

Distortion

Correlation function

Algorithm development

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