Issue No.10 - October (1976 vol.25)
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.
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.
M. Onoe, "Automatic Threshold Setting for the Sequential Similarity Detection Algorithm", IEEE Transactions on Computers, vol.25, no. 10, pp. 1052-1053, October 1976, doi:10.1109/TC.1976.1674547