Color Classification For Colorblind Assistance

Tom Fuller, Amir Sadovnik

The advancement and proliferation of augmented reality technologies allows for the development of novel techniques for assistive technologies, especially in the realm of computer vision. By enhancing a certain part of the view of a person with visual impairment we can assist them in different tasks. In this work we develop an algorithm to assist people who suffer from color blindness. We first examine different methods for pixel level color classification to select the one that works the best. We then attempt to improve the color classification rate by classifying the whole image using graph cuts, and show how this improves our classification rate. Finally, we develop an implementation of the algorithm which can run in real time and show how it can assist those suffering from color blindness.