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Experiments on pattern recognition using invariant Fourier–Mellin descriptors

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Abstract

Image descriptors based on the circular-Fourier–radial-Mellin transform are used for position-, rotation-, scale-, and intensity-invariant multiclass pattern recognition. The orders of the radial moments and of the circular harmonics are chosen to obtain an efficient image description. The first-order radial moments of three circular harmonics are sufficient to obtain a satisfactory recognition performance. The influence of additive noise is investigated. Experimental results are shown.

© 1986 Optical Society of America

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