Automatic Threshold Setting for the Sequential Similarity Detection Algorithm

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.