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

Abstract

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.

Authors and Affiliations

Mrs. Vishal Dahiya, Dr. Priti Srinivasan Sajja

Keywords

Related Articles

NFC: A review of technology, tags, applications and security

Smart phones are on a course to becoming a need instead of just a want as users are integrating the devices into every aspect of their lives. Smart phones adoption also increases due to the convergence of value-added...

Secure Data transfer in Cloud Storage Systems using Dynamic Tokens

Cloud computing is the delivery of computing as a service rather than a product. It provides shared resources, software, and information to computers and other devices over a network. The increasing network bandwidth...

A Novel approach on ɸ - Disposition Pulse Width Modulation for Modular Multilevel Inverter

In this project implemented a novel approach in the modulation technique based on selective virtual loop mapping, to attain dynamic capacitor voltage balance without any compensated signal.An improvised proposed metho...

Classification Of Heart Disease Using Svm And ANN

Classification of heart disease can be useful for the physicians if it is computerized for the purpose of fast diagnosis and accurate result. Predicting the existence of heart disease accurately can save patients life...

Effective R-cube Algorithm for Deriving Relevant Information on the Web

The analysis of user search goals can be very useful in improving search engine relevance and user experience. A novel approach to infer user search goals by examines search engine query logs. A framework to determin...

Download PDF file
  • EP ID EP27432
  • DOI -
  • Views 771
  • Downloads 8

How To Cite

Mrs. Vishal Dahiya, Dr. Priti Srinivasan Sajja (2012). Vision Defect Identification System (VDIS) using Knowledge Base and Image Processing Framework. International Journal of Research in Computer and Communication Technology, 1(1), -. https://europub.co.uk/articles/-A-27432