earticle

영어

One of the most common phenomenon elder people suffer is the hardness to see the color near blue or violet. This is because absorbance of the lens increase when one becomes older. Since the absorbance of light in the matter depends on the wavelength, absorbance can be simplified as a function of wavelength and the individual's age. So, in order to know the relationship among absorbance, wavelength and age, we should know the relationship between wavelength of the light. Since wavelength can be easily known if RGB value of light is given, Changing HSV value to RGB value is necessary as most of the electronic devices prefer to use HSV. In this research, Artificial Neural Network(ANN) is used to predict eye health of the individual, setting input value as age of person and HSV value of color and output as an absorbance of the lens. Artificial Neural Networks were made using NeurophStudio 2.9(Java Neural Network Framework, SourceForge). More specifically, 3 types of ANN were made, 'HSV to RGB' converter, 'RGB to Wavelength' converter and 'Age+Wavelength to Absorption(of the lens)' converter. Each of the converter performed well. Especially, all of the outputs of 'RGB to wavelength converter' had error rate less than 0.2. The output of the total ANN showed similar tendency with the actual output.