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Rezaeiye, Payam Porkar
- A New Method for Classifying Corneal Data
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Authors
Affiliations
1 Department of Computer, Damavand Branch, Islamic Azad University, Damavand, IR
2 Faculty of Computer Science and Information Technology, University Putra Malaysia,43400 UPM, Serdang,Selangor, MY
3 Research Institute of Petroleum Industry (RIPI), Tehran, IR
1 Department of Computer, Damavand Branch, Islamic Azad University, Damavand, IR
2 Faculty of Computer Science and Information Technology, University Putra Malaysia,43400 UPM, Serdang,Selangor, MY
3 Research Institute of Petroleum Industry (RIPI), Tehran, IR
Source
Indian Journal of Science and Technology, Vol 6, No 2 (2013), Pagination: 3996-3998Abstract
Today intelligent systems are used in different applications like classifying complex pattern in physician industry. This paper present a real work with eye bank based on quality assignment of corneal donated. Here there is a statistical way in classification of physician data (corneal topography). Results have tested in database of corneal topography and show a better result. Utilization of computer to classify different data for improving of eye junction operation is the goal of this paper. Classification of corneal topography can used different methods but this paper introduced a new statistical method and show that this method is more appropriate for separation of corneal data and it also shown few applications that might be used in future.Keywords
K Nearest Neighbor Method, Classification, Topography, CornealFull Text
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