Invariant analogical image representation and pattern recognition

Authors:
Lowell Jacobson;Harry Wechsler
Affiliations:
Electrical Engineering Department, University of Minnesota Minneapolis, MN 55455, USA;Electrical Engineering Department, University of Minnesota Minneapolis, MN 55455, USA
Venue:
Pattern Recognition Letters
Year:
1984

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Abstract

We describe an image representation that uniquely encodes the information in a gray-scale image, decouples the effects of illumination, reflectance, and angle of incidence, and is invariant, within a linear shift, to perspective, position, orientation, and size of arbitrary planar forms. Then we provide a theoretical basis for applying this representation to achieve invariant form recognition.