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Proceedings Paper

Monte Carlo Estimation Of Moment Invariants For Pattern Recognition
Author(s): Thomas A. Isberg; G. Michael Morris
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Paper 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.

Paper Details

Date Published: 22 August 1988
PDF: 7 pages
Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); doi: 10.1117/12.976613
Show Author Affiliations
Thomas A. Isberg, University of Rochester (United States)
G. Michael Morris, University of Rochester (United States)

Published in SPIE Proceedings Vol. 0938:
Digital and Optical Shape Representation and Pattern Recognition
Richard D. Juday, Editor(s)

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