Paper
18 April 2006 A preprocessing and automated algorithm selection system for image registration
Author Affiliations +
Abstract
Image registration is a technique for precisely aligning the content of two or more images. It is often used as a preprocessing stage for further analysis, such as automatic target recognition, change detection, and environmental remote sensing. However, there are many different registration algorithms available to the image analyst, and it's difficult to know which one is the best one to use for a particular pair of images. These various algorithms also have a multitude of settings and parameters that must be given proper values for best results. Consequently, it is often difficult to know which algorithm will perform the best in a given situation, under constraints of time or accuracy. We propose constructing an expert system, with rules based on experimental results, that will automatically select the appropriate registration algorithm and perform appropriate preprocessing steps to prepare the images for registration.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. L. Drozd, A. C. Blackburn, I. P. Kasperovich, P. K. Varshney, M. Xu, and B. Kumar "A preprocessing and automated algorithm selection system for image registration", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420T (18 April 2006); https://doi.org/10.1117/12.666114
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image registration

Sensors

Algorithm development

Real-time computing

Detection and tracking algorithms

Image restoration

Image fusion

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