A method for the automatic analysis of colour category pixel shifts during dichromatic vision

Mike Bennett, Aaron Quigley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Visual Computing Second International Symposium, ISVC 2006 Lake Tahoe, NV, USA, November 6-8, 2006. Proceedings, Part II
EditorsG. Bebis, R. Boyle, B. Parvin, D. Koracin, P. Remagnino, A. Nefian, G. Meenakshisundaram, V. Pascucci, J. Zara, J. Molineros, H. Theilsel, T. Malzbender
PublisherSpringer
Pages457-466
Number of pages10
ISBN (Print)978-3-540-48626-8
DOIs
Publication statusPublished - 2006
Event2nd International Symposium on Visual Computing (ISVC 2006) - Lake Tahoe, United States
Duration: 6 Nov 20068 Nov 2006

Publication series

NameLecture Notes in Computer Science
Volume4292
ISSN (Print)0302-9743

Conference

Conference2nd International Symposium on Visual Computing (ISVC 2006)
Country/TerritoryUnited States
City Lake Tahoe
Period6/11/068/11/06

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