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Discrete Radon transform based invariant object recognition system

Turan J., Farkas P., Siskovicova D.

Image Processing & Communications

2002

Vol. 8, no 3

21-30

An important problem in pattern analysis is the automatic recognition of an object in scene regardless of the position, size and orientation. In this paper an Invariant Feature Extractor based on the combination of the Radon transform, the Correlation and the fast translation invariant N transform (NT) is described. This Invariant Feature Extractor was used in Invariant Object Recognition System, implemented as a programme package on a powerful PC and tested in recognition experiments on three different classes of objects. The proposed Invariant Object Recognition System has three sub-systems : Digital Image Preprocessing Svstem, Invariant Feature Extractor and Classificator. As Classificator a neural network from the class of ARTMAP neural networks was used.