Vision Defect Identification System ( VDIS ) using Knowledge Base and Image Processing Framework

In this research paper, a novel system has been designed which is using two discipline of Computer science area which are Artificial intelligence and image Processing. Fuzzy sets and logic has been chosen from AI and image classification, filtering, matching & rendering has been used from IP. The rendering of the image has been done as per the specification given by the patient and then backend side image classification and matching has been done. Fuzzy rules are defined using fuzzy logic & fuzzy set; then by using rule base and database the inferences have been given by the system that is VDIS. Human perception is taken into consideration in both the areas to come on the final output of VDIP; the final output forwarded to the human expert to make final decision. Keyword : perception, rendering, rule, knowledge.