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Proceedings Paper

Modeling and calibrating CCD cameras for illumination-insensitive machine vision
Author(s): Glenn Healey; Raghava V. Kondepudy
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Paper Abstract

Changes in measured image irradiance have many physical causes and are the primary cue for several visual processes such as edge detection and shape from shading. Using physical models for CCD image sensors and material reflectance, we quantify the variation in digitized pixel values that is due to sensor noise and reflectance variation. This analysis forms the basis of algorithms for sensor characterization and calibration and for scene description. Specifically, algorithms are developed for estimating the parameters of sensor noise and for calibrating a camera to remove the effects of fixed pattern nonuniformity and spatial variation in dark current. While these techniques have many potential uses, we describe in particular how they can be used to estimate a measure of scene variation. This measure is independent of image irradiance and can be used to identify a surface from a single sensor band over a range of situations. Experimental results obtained using these algorithms are presented.

Paper Details

Date Published: 1 March 1992
PDF: 12 pages
Proc. SPIE 1614, Optics, Illumination, and Image Sensing for Machine Vision VI, (1 March 1992); doi: 10.1117/12.57974
Show Author Affiliations
Glenn Healey, Univ. of California/Irvine (United States)
Raghava V. Kondepudy, Univ. of California/Irvine (United States)

Published in SPIE Proceedings Vol. 1614:
Optics, Illumination, and Image Sensing for Machine Vision VI
Donald J. Svetkoff, Editor(s)

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