Design And Development Of Color Blindness Correction System Based On Android

Colour blindness,resulting from lesion of the Retinal cone cells,brings lots ofinconvenience in people’s life,study and work because of difficulties in getting correctvisual colour information. Therefore,people from different fields including biology,Chinese and western medicines, Physics and Information science began to study howto improve the ability of getting colour vision for patients.And among all of them,Daltonism antidote combined with Digital Image Processing and electronicinformation technology shows its best convenience and efficiency.This thsis is aimed to design a Color blindness correction tool based on imageprocessing.And the author has improved Daltonism antidote,developed a correctionsystem of colour blindness based on Andriod for the most general colour blindness,dichromasia.The main content is as follows:(1) Analysis of two kinds of Daltonism antidote based on image processing,colorblindness correction method based on image color value statisticsand and colorblindness correction method based on the H component rotation.The simulation resultsshows that color blindness correction method based on image color value statisticsandhas large amount of calculation,low speed and poor real-time performance.While theother one actually reduce the amount of calculation except for its large memorywhich results in its impossibility to be used on Embedded System Platform for dealingwith video image.(2) Improvement of color blindness correction method based on the H componentrotation.The improved method,using the best color blindness correction image R, G, Bcolor component values and the relationship between the original corresponding weightvalue, take directly on the original image R, G, B component to replace the way of therotation of the H component.In this way,an amount of memory space is saved and thespeed of the program is also improved.Test results shows that the system based on improved method can perform on Embedded System Platform and has the ability ofreal-time video image processing, and maintain the corrective effect of the formermethod.(3) Design of the Color blind image correction system based on Android andimproved color blindness correction method based on the H component rotation.Testresults show that this system can improve the ability to distinguish certain colors forcolor blindness patients as well as simulating the real images of the red color blindness,and green color blindness, and blue color blindness patients’vision.And the results show that the system can help to identify the color blindness testchart for the color blindness patients. In the test of plant landscape with more complexcolor and shape, the correction system can help color blindness patients to find mixedflowers or fruit hiding in the plant leaf.And for colour blindness simulation,the systemcan reproduce dichromasia patients’ visual images, and may be applied to test orexperience of dichromasia.Meanwhile,the application program in the system canbe easily installed and run on the Android tablet and Android phones with great real-time operation,shows great convenience for the correction and test of colour blindness.