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Proceedings Paper

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

Paper Details

Date Published: 1 June 1991
PDF: 11 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45390
Show Author Affiliations
Fleming Yuan Ming Lure, Caelum Research Corp. (United States)


Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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