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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Detection of Degree of Sickness of Affected Eye Using Fuzzy Logic and Histogram Analysis
verfasst von : Manisha Barman, J. Paul Choudhury, S. Biswas
Erschienen in: Intelligent Computing and Applications
Verlag: Springer India
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Abstract
Cataract is a clouding of the lens inside the eye which leads to a decrease in the vision. It is the most common cause of blindness and is conventionally treated with surgery. The main objective of this paper is to develop a system which helps to detect cataract in affected eyes. The system consists of selection of area of interest from an image of an image and extraction of certain features of images. The proposed work consists of selection of the area of interest from an eye image and formation of membership values and their mean values from the textual properties of the image with an objective to differentiate between the normal and affected eye for the purpose of detection of degree of sickness of the eye. The said work is confirmed from the result as obtained from the irregular frequency distribution of the input image and the value of irregular deviation of the frequency of the image. A set of images consisting of normal and affected eyes has been collected for carrying out this work.