22 August 1988 Monte Carlo Estimation Of Moment Invariants For Pattern Recognition
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas A. Isberg, 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); doi: 10.1117/12.976613; https://doi.org/10.1117/12.976613


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