Extracting invariant moments of images by a hybrid optical processor for pattern recognition

Yansong Chen; Shi-hai Zheng; Dehuan Li

doi:10.1117/12.60559

1 July 1992 Extracting invariant moments of images by a hybrid optical processor for pattern recognition

Yansong Chen; Shi-hai Zheng; Dehuan Li;

Author Affiliations +

Proceedings Volume 1702, Hybrid Image and Signal Processing III; (1992) https://doi.org/10.1117/12.60559
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A hybrid optical processor for extracting the invariant moments of images is presented in this paper. The processor is composed of two parts: the optical one consisting of a holographic mask and two Fourier lenses for computing geometric moments of the input images in parallel, and the optoelectric one consisting of a charge-coupled device detector and a microcomputer for calculating invariant moments from the measured geometric moments. The capital letters, C, F, G, H, J, and L, as the input images, are tested to extract their moments by the processor. The produced invariant moments show that the moment values of a letter are approximately independent of shift and rotation, and the moments of different letters are distinct enough for one to recognize them.

Citation Download Citation

Yansong Chen, Shi-hai Zheng, Dehuan Li, "Extracting invariant moments of images by a hybrid optical processor for pattern recognition", Proc. SPIE 1702, Hybrid Image and Signal Processing III, (1 July 1992); doi: 10.1117/12.60559; https://doi.org/10.1117/12.60559

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