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Knowledge-based optical image processing

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Abstract

Image processing tasks are usually classified into several categories. The low end, sometimes referred to as picture processing, involves image preprocessing for noise removal, restoration, and enhancement. For such tasks a number of optical techniques are applicable. At a higher level image processing, such as feature classification, the discovery of structural information, model matching, etc., some of the optical image processing tools are lacking. The purpose of this presentation is to describe some of the issues associated with these tasks and suggest an optical means to deal with them.

© 1987 Optical Society of America

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