Paper
1 August 1990 Comparing the image matching methods of the two-stage and FFT
Jin-Tsong Hwang
Author Affiliations +
Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13953O (1990) https://doi.org/10.1117/12.2294375
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
Abstract
The two-stage matching method can be used to improve the result of digital image correlation . Choosing the best matching target size which is decided by the range of the peak of central target area can increase the effects in the practical use . The Fast Fourier Transformation (FFT) method presented herein is a very fast and rigorous method of the image matching The main advantage of FFT method is its computational efficiency. It requires , for the computation of the image matching for all interested points , the FFT method provides the means for spectral and correlation analysis between target sizes and results of the matching. A comparison of the two-stage and FFT methods is given which involves theories,procedures ,processing times,and matching precision. Various statistical tests are performed in order to diagnose possible systematic effects.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin-Tsong Hwang "Comparing the image matching methods of the two-stage and FFT", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13953O (1 August 1990); https://doi.org/10.1117/12.2294375
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KEYWORDS
Image processing

Machine vision

Photogrammetry

Picosecond phenomena

Image quality

Statistical methods

Computing systems

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