Monte Carlo Estimation Of Moment Invariants For Pattern Recognition

Thomas A. Isberg; G. Michael Morris

doi:10.1117/12.976613

22 August 1988 Monte Carlo Estimation Of Moment Invariants For Pattern Recognition

Thomas A. Isberg, G. Michael Morris

Proceedings Volume 0938, Digital and Optical Shape Representation and Pattern Recognition; (1988) https://doi.org/10.1117/12.976613
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

A real-time, Monte Carlo method for computation of image moments is presented. Input images are reduced to very low light levels, and imaged onto a two-dimensional, position-sensistve photon-counting detector. The coordinates of the detected photoevents are independent random variates, which are used to produce Monte Carlo estimates for the momentinvariants of the input image. Experimental results demonstrate that 5000 detected photoevents provide accurate estimates for several moment invariants of a typical input image.

Citation Download Citation

Thomas A. Isberg and G. Michael Morris "Monte Carlo Estimation Of Moment Invariants For Pattern Recognition", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976613

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