Paper
22 July 2008 Image mosaics technology of the 2D coordinates measurement
Xianwei Zhang, Weimin Li, Xiaofeng Li, Bin Li
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Abstract
This paper discusses an extension of image mosaics technology of the 2D coordinates measurement technique. Fourier-Mellin Transform (FMT) is widely used as an image mosaics method. Based on analyses of frequency spectrum, FMT automatically stitches images with relationships of translation, rotation, scaling. The course of FMT is simulated and optimized, and the character of FMT for shifted images is educed. Furthermore, the particular rules for polar coordinate transform of rotated and zoomed images are advanced, making noise depressed and the feasibility of the algorithm greatly increased. Moreover, The proposed method that adopt filter technique aiming at finite discrete images can eliminate efficiently the artifact in the Fourier-Mellin space, and obtain significant correlated peak values and resist the influence of noise interference. Finally, making use of the separation pattern technology based on difference calibrations to evaluate the precision of registration image. Experimental results demonstrate this method is effective.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianwei Zhang, Weimin Li, Xiaofeng Li, and Bin Li "Image mosaics technology of the 2D coordinates measurement", Proc. SPIE 7021, High Energy, Optical, and Infrared Detectors for Astronomy III, 70211T (22 July 2008); https://doi.org/10.1117/12.788848
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Calibration

Image registration

Fourier transforms

Image filtering

Image restoration

Linear filtering

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