Color transformation for color blind compensation on augmented reality system

People with color blindness often have difficulty in distinguishing certain colors. People with total color blindness can only see things in black, white, and gray. Deficiency of color perception is causing many problems for people with color blindness, from daily activities to educational issue. One solution to help this problem is to build an aid system using image processing techniques and applying augmented reality technologies. This paper focuses on designing the user interface of color blind aid system and color blindness test system for Windows Phone 7 device, and also developing color transformation system for mobile and embedded device. The design of color blind aid system user interfaces for Windows Phone 7 is implemented using Microsoft Expression Blend based on the barrier-free principle. The color blindness test system used Ishihara method, and the application of Dalton's theory to transform colors using C# programming language with EmguCV library. Test analysis of the system proves that the implementation of Ishihara method for color blindness test system provides high accuracy results with the percentage of 100% which is tested by 10 respondents. Dalton method for color transformation system provides optimal results in clarifying ambiguous colored objects, especially for color blind people. In the embedded device implementation, the visibility percentage is 74%. Meanwhile in the mobile device implementation, the visibility percentage is only 37%.