a robust automated cataract detection algorithm using diagnostic opinion based parameter thresholding for telemedicine application

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ID: 244588
2016
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Abstract
This paper proposes and evaluates an algorithm to automatically detect the cataracts from color images in adult human subjects. Currently, methods available for cataract detection are based on the use of either fundus camera or Digital Single-Lens Reflex (DSLR) camera; both are very expensive. The main motive behind this work is to develop an inexpensive, robust and convenient algorithm which in conjugation with suitable devices will be able to diagnose the presence of cataract from the true color images of an eye. An algorithm is proposed for cataract screening based on texture features: uniformity, intensity and standard deviation. These features are first computed and mapped with diagnostic opinion by the eye expert to define the basic threshold of screening system and later tested on real subjects in an eye clinic. Finally, a tele-ophthamology model using our proposed system has been suggested, which confirms the telemedicine application of the proposed system.
Reference Key
pathak2016electronicsa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Shashwat Pathak;Basant Kumar
Journal biology bulletin of the academy of sciences of the ussr
Year 2016
DOI
10.3390/electronics5030057
URL
http://www.mdpi.com/2079-9292/5/3/57
Keywords
matlab cataract k-means clustering telemedicineelectronics

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