Real Time Estimation Of Object Spectrocolorimettic Features

Peter V. Petrov; Christo D. Lukarsky; Victor V. Christov; Parashkev A. Grancharov; Iren I. Arshinkova

doi:10.1117/12.949338

10 March 1989 Real Time Estimation Of Object Spectrocolorimettic Features

Peter V. Petrov, Christo D. Lukarsky, Victor V. Christov, Parashkev A. Grancharov, Iren I. Arshinkova

Proceedings Volume 1012, In-Process Optical Measurements; (1989) https://doi.org/10.1117/12.949338
Event: 1988 International Congress on Optical Science and Engineering, 1988, Hamburg, Germany

Abstract

The results obtained in the development of a laboratory prototype of intelligent spectrometric system with real time digital signal processing are shown in this paper. The system is acombination of visible range spectrophotometer and focussing holographic grid with photodiode linear structure, i.e.the sensor, real time digital signal processing controller and display processor for gray level visualization, together with PC/XT controlLing computer. The twodimesional adaptive differential pulse code modulator with simultaneous correction of sensor dark current introduced into the real time controller allows the registration of measurments with resolution of 10 bit/el and real time data compression 2.5 times. During computation of colorimetric estimations or wideband photo-metric compression the possibilities for express analysis increase together with the enhancement of the signal-to-noise ratio. The system control and the visualization of spectral and colorimetric features in the data flux is made with personal computer together with display processor with resolution 512x512x8 and interactive software. It may be used for ground-based and onboard complexes.

Citation Download Citation

Peter V. Petrov, Christo D. Lukarsky, Victor V. Christov, Parashkev A. Grancharov, and Iren I. Arshinkova "Real Time Estimation Of Object Spectrocolorimettic Features", Proc. SPIE 1012, In-Process Optical Measurements, (10 March 1989); https://doi.org/10.1117/12.949338

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available