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A Method for the Automatic Analysis of Colour Category Pixel Shifts During Dichromatic Vision

  • Mike Bennett
  • Aaron Quigley
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)

Abstract

In this paper we present a method for automatically evaluating the amount of colour changes images undergo when perceived by individuals with colour deficient vision. This measure enables the classification of images based on the extent images visually change when viewed by people with one of the three classes of dichromatic (protanopia, deuteranopia, and tritanopia) colour vision. By measuring the extent that colour images appear perceptually different a designer, or automated layout technique, will have an indication of whether the choice of colour usage in an image could lead to colour ambiguity or colour confusions.

Keywords

Colour Vision Colour Usage Percentage Indicator Colour Defective Vision Human Visual System Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mike Bennett
    • 1
  • Aaron Quigley
    • 1
  1. 1.Imaging, Visualisation & Graphics Lab, Systems Research Group, School of Computer Science & InformaticsUniversity College DublinDublin 4Ireland

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