Anthropomorphic OPR method

Vera Moiseevna Ginzburg

doi:10.1117/12.341301

9 March 1999 Anthropomorphic OPR method

Vera Moiseevna Ginzburg

Proceedings Volume 3715, Optical Pattern Recognition X; (1999) https://doi.org/10.1117/12.341301
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Problem of optical pattern recognition (OPR) is sorting numerous images into several subsets. A certain generalized image is ascribed to each subject. For example, the letter 'A,' written in different fonts, to some generalized image of this letter. In this process one has to deprive it of individual attributes i.e. to narrow down its spatial spectrum. This result in a generalized object's image separation with informative fragments (IF) at places with sharp form's changing typical to many similar images. It is shown that in Nature such process can be realized by existing periodic defocusing of the crystalline lens, which leads to generalization of an image projected on the retina. Such process i.e. image defocusing can be used in technique for generalization real images in OPR systems. It was proposed the scheme of possible variant of such robot 'drawing' the generalized images of real objects. The results of computer imitation of 'drawing' generalized images by such a robot, are presented. In report also will be shown an example of possible solving the reverse task: expanding the spatial spectrum of the object with the poor own spectrum for alleviation the problem of its detection (for example, optical feature extractions for target identification). Such procedure according to Shenon's Theory cannot improve the real object's information, but permits alleviate detection of such object. An example of solving one such problem, is presented.

Citation Download Citation

Vera Moiseevna Ginzburg "Anthropomorphic OPR method", Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); https://doi.org/10.1117/12.341301

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KEYWORDS

Image processing

Genetics

Iterated function systems

Antennas

Retina

Holography

Optical correlators

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