Premium
Paper No S11.4: High‐Accuracy Imaging Colorimeter
Author(s) -
Wolf Martin,
Neumeier Jürgen,
Young Richard
Publication year - 2015
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.10526
Subject(s) - colorimeter , colorimetry , computer science , artificial intelligence , computer vision , set (abstract data type) , matching (statistics) , function (biology) , filter (signal processing) , sample (material) , mathematics , optics , statistics , physics , evolutionary biology , biology , programming language , thermodynamics
We present a new approach to 2D‐imaging colorimetry yielding significantly improved measurement accuracy for virtually all sample sources [1]. This approach essentially combines two important innovations. The first is to use a camera equipped with six optical filters instead of the commonly used three or four channels. This clearly improves the fitting to the human eye's color matching function (CMF). However, simply extending the number of filters, i.e. the number of data acquisition channels will not necessarily improve the measurement accuracy. Here we present how the performance of a six filter CCD‐camera can be enhanced by the use of an advanced matrix optimization employing a set of 20 training sources. This combination guarantees a clearly better overall performance, which is especially advantageous when it comes to measuring typical LEDs.