About 8% of the male population of the world are affected by a determinedtype of color vision disturbance, which varies from the partial to completereduction of the ability to distinguish certain colors. A considerable amountof color blind people are able to live all life long without knowing they havecolor vision disabilities and abnormalities. Nowadays the evolution ofinformation technology and computer science, specifically image processingtechniques and computer graphics, can be fundamental to aid at the developmentof adaptive color blindness correction tools. This paper presents a softwaretool based on Fuzzy Logic to evaluate the type and the degree of colorblindness a person suffer from. In order to model several degrees of colorblindness, herein this work we modified the classical linear transform-basedsimulation method by the use of fuzzy parameters. We also proposed four newmethods to correct color blindness based on a fuzzy approach: Methods A and B,with and without histogram equalization. All the methods are based oncombinations of linear transforms and histogram operations. In order toevaluate the results we implemented a web-based survey to get the best resultsaccording to optimize to distinguish different elements in an image. Resultsobtained from 40 volunteers proved that the Method B with histogramequalization got the best results for about 47% of volunteers.
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