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Proceedings Paper

Anthropomorphic OPR method
Author(s): Vera Moiseevna Ginzburg
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Paper 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 results to a generalized object's image with informative fragments (IF) at places with sharp form typical to many similar images. From Optics it is known, ' 2 the defocusing of an image in non-coherent light using a lens (camera) cuts off high-frequency components of the spatial frequency spectrum transmitted by the optical system and therefore removes the small details of the image. It is shown that in Nature such process can be realized by existing periodic defocusing of the crystalline lens3, which leads to generalization of an image projected on the retina. It is shown that 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. This scheme represents a holographic correlator processing images by defocusing and by applying a set of spatial filters. These filters are constructed using a set of elementary images ("geometrical alphabet") formed from two images, a straight stripe and round spot, recognized by all living beings4. The results of computer imitation of "drawing" generalized images by such robot, are presented. Fig.! demonstrates some examples of contour images and their defocusing images with informative fragments

Paper Details

Date Published: 19 July 1999
PDF: 2 pages
Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); doi: 10.1117/12.354918
Show Author Affiliations
Vera Moiseevna Ginzburg, Consultant (United States)


Published in SPIE Proceedings Vol. 3749:
18th Congress of the International Commission for Optics
Alexander J. Glass; Joseph W. Goodman; Milton Chang; Arthur H. Guenther; Toshimitsu Asakura, Editor(s)

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