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Summary: Abstract
The majority of color work in machine vision has been
based on a trichromatic (and specifically RGB) color rep-
resentation. In reality, color is a continuous univariate
function of wavelength which can be quantized into an
arbitrary number of dimensions. The capture of reflec-
tance information in spectrally higher dimensions will
improve image analysis. To acquire spectrally and spa-
tially high-dimensional images, one has to employ special-
ized image acquisition devices. This paper is a survey of
the currently available technologies for this type of imag-
ing systems. Electronically tunable filters offer the fastest,
most accurate and flexible color filtering techniques that
are currently available. We provide an overview of these
filters and present a set of criteria for selecting the appro-
priate device depending on the specific application.
1. Introduction
The extraction of color-light interactions is an active
research topic in computer vision. Most of the work in that
field is based on tri-chromatic color representation (typi-
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