Abstract

A method has been devised to accomplish contrast-invariant pattern recognition using multiple circular harmonic components. In addition to detecting targets with various contrasts in the presence of high-contrast objects, the method is shift- and rotation-invariant. A vector f is formed from the autocorrelation values for each member of a set of circular harmonic components corresponding to the target of interest. The unit vector f/f is a feature vector whose direction characterizes the target. Target detection is accomplished by comparing the corresponding cross-correlation unit vector to the vector f/f. Experimental results are shown.

© 1985 Optical Society of America

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