Innovative algorithms for vision defect identification system

In this paper, application of fuzzy logic and rendering in vision defect identification system fo r eye disease has been investigated. The real procedure of eye defect diagnosis which usually is employed by physicians was analyzed and converted to a machine implementable format. After acquisition of symptoms of different diseases, a data set contains the information of a few cases was configured. The defect has been analyzed with the help of fuzzy logic rule base and image processing rendering mechanism. Results of the experiments along with the advantages of using a fuzzy and rendering approach were discussed as well. Outcomes reflect the role of effective symptoms selection and the advantages of data fuzzification and fast rendering.