Abstract
In practical recognition problems we choose decision rules that correspond with our prior information about the classes or abstract images to be recognized. In most cases class membership is an invariant of certain given transformations of images. It seems intuitively right that two images which differ only by a translation or rotation through not too large an angle should belong to the same class; therefore the decision rule should also be an invariant of the corresponding transformations.
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© 1980 Springer-Verlag New York Inc.
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Kovalevsky, V.A. (1980). The Method of Admissible Transformations. In: Image Pattern Recognition. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-6033-2_5
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DOI: https://doi.org/10.1007/978-1-4612-6033-2_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6035-6
Online ISBN: 978-1-4612-6033-2
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