Innovative algorithms for vision defect identification system

Author

Dahiya, V. ; Trivedi, J. ; Sajja, P.S.

Author_Institution

Indus Univ., Ahmedabad, India

fYear

2013

fDate

1-2 March 2013

Firstpage

209

Lastpage

215

Abstract

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.

Keywords

computer vision; diseases; eye; fuzzy logic; knowledge based systems; rendering (computer graphics); data fuzzification; eye defect diagnosis; eye disease; fuzzy logic rule base; image processing rendering mechanism; innovative algorithm; machine implementable format; symptom selection; symptoms acquisition; vision defect identification system; Diseases; Fuzzy logic; Image segmentation; Intelligent systems; Signal processing; Signal processing algorithms; diagnosis of vision defect; fuzzy logic; image processing; rendering;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on

Conference_Location

Gujarat

Print_ISBN

978-1-4799-0316-0

Type

conf

DOI

10.1109/ISSP.2013.6526904

Filename

6526904