  About 8% of the male population of the world are affected by a determined
type of color vision disturbance, which varies from the partial to complete
reduction of the ability to distinguish certain colors. A considerable amount
of color blind people are able to live all life long without knowing they have
color vision disabilities and abnormalities. Nowadays the evolution of
information technology and computer science, specifically image processing
techniques and computer graphics, can be fundamental to aid at the development
of adaptive color blindness correction tools. This paper presents a software
tool based on Fuzzy Logic to evaluate the type and the degree of color
blindness a person suffer from. In order to model several degrees of color
blindness, herein this work we modified the classical linear transform-based
simulation method by the use of fuzzy parameters. We also proposed four new
methods to correct color blindness based on a fuzzy approach: Methods A and B,
with and without histogram equalization. All the methods are based on
combinations of linear transforms and histogram operations. In order to
evaluate the results we implemented a web-based survey to get the best results
according to optimize to distinguish different elements in an image. Results
obtained from 40 volunteers proved that the Method B with histogram
equalization got the best results for about 47% of volunteers.
