Color.Vision.Simulate: Simulate CVDs on images

In CVD: Color Vision Deficiencies

Description

Color.Vision.Simulate converts images so that the colors look similar to how they are seen by people with CVD.

Usage

Color.Vision.Simulate(fileIN=NULL, fileOUT=NULL, myoptions=NULL, amount=1.0)

Arguments

fileIN	PNG input file
fileOUT	PNG output file
myoptions	CVD from "Protanope","Deuteranope" or "Tritanope"
amount	level from 0.0 to 1.0 for "Achromat"

Value

none

Author(s)

Jose Gama

References

Michael Deal Daltonize.org http://mudcu.be/labs/Color/Vision http://www.daltonize.org/p/about.html "Analysis of Color Blindness" by Onur Fidaner, Poliang Lin and Nevran Ozguven. "Digital Video Colourmaps for Checking the Legibility of Displays by Dichromats" by Francoise Vienot, Hans Brettel and John D. Mollon http://vision.psychol.cam.ac.uk/jdmollon/papers/colourmaps.pdf

Examples

# a "perfect" score
## Not run: 
fname<-paste(system.file(package='CVD'),'/extdata/fruits.png',sep='')
Color.Vision.Simulate(fname, 'fruits.Simulate.Protanope.png','Protanope')
Color.Vision.Simulate(fname, 'fruits.Simulate.Deuteranope.png','Deuteranope')
Color.Vision.Simulate(fname, 'fruits.Simulate.Tritanope.png','Tritanope')

## End(Not run)

CVD documentation built on May 2, 2019, 1:58 p.m.