Automatic Threshold Setting for the Sequential Similarity Detection Algorithm

Authors:
M. Onoe;M. Saito
Affiliations:
Institute of Industrial Science, University of Tokyo;-
Venue:
IEEE Transactions on Computers
Year:
1976

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A Class of Algorithms for Fast Digital Image Registration

IEEE Transactions on Computers

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Abstract

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.