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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Y.Z. Hsu, H.-H. Nagel, G. Rekers (=Klinker)
New Likelihood Test Methods for Change Detection in Image Sequences
Computer Vision, Graphics and Image Processing (CVGIP), 26, 1984. (bib)

Modeling the image as a piecewise linear gray-value function of the pixel coordinates considerably improved a change detection test based previously on a piecewise constant gray-value function. These results encouraged investigations into modeling the picture as a mosaic of patches where the gray-value function within each patch is described as a second-order bivariate polynomial of the pixel coordinates. Such a more appropriate model allowed the assumption to be made that the remaining gray-value variation within each patch can be attributed to noise related to the sensing and digitizing devices, independent of the individual image frames in a sequence. This assumption made it possible to relate the likelihood test for change detection to well-known statistical tests (t test, F test) facilitating the determination of threshold values related to a priori confidence limits.
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