Purchase this article with an account.
S. Klee, P. Bessler, J. Haueisen; Development and Application of a Model Based Transformation for Technical and Physiological Colour Spaces. Invest. Ophthalmol. Vis. Sci. 2008;49(13):3834.
Download citation file:
© ARVO (1962-2015); The Authors (2016-present)
The cone types of the eye differ in calcium metabolism, membrane permeability, amount and distribution. That implies different vulnerabilities to specific eye diseases e.g. retinitis pigmentosa or glaucoma. To achieve a diagnostic benefit based on these properties the excitation of several cone types is needed. Therefore a free adjustable RGB-colour stimulator is required. Our aim was to develop a model of the biological effect as a basis for the right choice of a suitable stimulator.
The spectral distribution function of the irradiance provided the basis for the model. The measured spectra of each colour and each stimulator were transformed in CIE 10° colour system using the CIE colour matching functions. In result every colour was described by a set of three virtual colour values (XYZ). In this system an adjustment to standard illuminants and other calibrations can be done very easily. For calculation of the biological effect as the amount of radiation per unit area of the retina (LMS values), we used another transformation based on spectral sensitivity functions from Hunt. Because the controlling of the stimulators was performed with a PC graphic card, we finally transformed the PC colour space (RGB) into the XYZ system.
Through the combination of all transformation steps we were able to compute the biological effect produced by various stimulators and their colours. We applied the model on different stimulator technologies and types e.g. LCD, LCoS, DMD, plasma and a novel LCD combined with LED illumination. Using the example of an S-cone stimulus (R,G,B = 0,0,255) we computed differences in the values for the biological activation level of more than 25%. By consideration of all calculated LMS values, we could find an ideal colour stimulator.
The presented model allows to calculate the biological effect (LMS values) caused by any colour stimulus from the RGB space. This provides a basis for choosing a suitable colour stimulator needed for an efficient selective cone excitation. The example of an S-cone stimulus showed great differences in the biological activation level witch are closely linked to the stimulator technology. The novel LED-LCD technology looks very promising with excellent LMS values.
This PDF is available to Subscribers Only