Using optical space-frequency analysis for real-time pattern recognition

Author

Reichel, Frank ; Loeffler, Wolfgang ; Gaertner, Ernst

Author_Institution

Jenoptick, GmbH, Jena, Germany

Volume

14

Issue

6

fYear

1994

Firstpage

49

Lastpage

60

Abstract

Simple, economical hardware based on incoherent space-frequency analysis overcomes many drawbacks associated with coherent optical systems. We have adopted this technique in developing a compact camera unit that uses a liquid-crystal light modulator for data input. This optically addressable camera system can automate a variety of visual inspection tasks. Adapted to conventional microscopes, it also enables automatic inspection of biological specimen textures, a useful tool in disease detection.<>

Keywords

automatic optical inspection; image recognition; image texture; optical computing; automatic inspection; biological specimen textures; coherent optical systems; compact camera unit; disease detection; liquid-crystal light modulator; optical space-frequency analysis; optically addressable camera system; real-time pattern recognition; visual inspection tasks; Biomedical optical imaging; High speed optical techniques; Humans; Inspection; Optical modulation; Optical sensors; Pattern analysis; Pattern recognition; Rough surfaces; Surface roughness;

fLanguage

English

Journal_Title

Micro, IEEE

Publisher

ieee

ISSN

0272-1732

Type

jour

DOI

10.1109/40.331389

Filename

331389