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Automatic Threshold Setting for the Sequential Similarity Detection Algorithm
October 1976 (vol. 25 no. 10)
pp. 1052-1053
M. Onoe, Institute of Industrial Science, University of Tokyo
This correspondence presents a method for automatic setting of both constant and increasing thresholds to be used with the sequential similarity detection algorithm (SSDA) for a fast registration of digitized images. No a priori knowledge of image statistics is required. The usefulness of the method is proven in the cloud tracking.
Index Terms:
Automatic threshold setting, cloud tracking, digital image registration, fast algorithm for registration, feature detection, pattern recognition, sequential similarity detection algorithm, translational image registration, weather satellite.
Citation:
M. Onoe, M. Saito, "Automatic Threshold Setting for the Sequential Similarity Detection Algorithm," IEEE Transactions on Computers, vol. 25, no. 10, pp. 1052-1053, Oct. 1976, doi:10.1109/TC.1976.1674547
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