Near-sensor real-time imaging spectroscopy for industrial applications

Erik Astrand; Mats Osterberg; Anders Astrom

doi:10.1117/12.234648

5 March 1996 Near-sensor real-time imaging spectroscopy for industrial applications

Erik Astrand, Mats Osterberg, Anders Astrom

Proceedings Volume 2661, Real-Time Imaging; (1996) https://doi.org/10.1117/12.234648
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

In this paper we present a system for high speed pixelwise spectral classification. The system is based on the line imaging PGP (prism-grating-prism) spectrograph combined with the smart image sensor MAPP2200. The classification is implemented using a near-sensor approach where linear discriminant functions are calculated using exposure time modulation and analog summation of pixel data. After A/D-conversion the sums are compared and classified pixels are output from the sensor chip. The theoretical maximum classified pixel rate of the system is around 1 MHz depending on number of classes, etc. In most practical applications however, the limit will be set by the available amount of light.

Citation Download Citation

Erik Astrand, Mats Osterberg, and Anders Astrom "Near-sensor real-time imaging spectroscopy for industrial applications", Proc. SPIE 2661, Real-Time Imaging, (5 March 1996); https://doi.org/10.1117/12.234648

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