Application of Color Segmentation To Help Partial Color Blind People

Partial blindness is a condition where one can’t see some colors because the color blind can not distinguish some light waves. To know the color blindness of a person is usually used tests using Ishihara image, which consists of a mixture of random colors that contain patterns of numbers or images that will confuse the color blind. In this study, applying image processing to help color blind people see the pattern of numbers in the image Ishihara. If people with color blindness cannot read numbers correctly then color segmentation is necessary. To process the image of Ishihara in order to be seen by the colorblind sufferer used the method of color segmentation to separate the pattern of numbers in the image Ishihara with other color background. By making the image that has been in the segmentation into a color reference then the color blind will be tested again using the image Ishihara before segmentation process. Test data to color blind people. Before to the color segmentation, there was a lot of error reading by the color blind patient, the percentage of true numbers was only 17.898%, after the segmentation process there was an increase in the ability to read the pattern of figures contained in the image Ishihara 38.63%, so the total of the percentage of readable numbers true to 56.354% .