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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/1016
Title: Entropy thresholding based microaneurysm detection in fundus images
Authors: Das V.
Puhan N.B.
Panda R.
Keywords: Diabetic Retinopathy
Fundus Images
Microaneurysm
Shannon and Tsallis Entropy Thresholding
Issue Date: 2016
Citation: 5
Abstract: Microaneurysms are small red dots that occur on the retina during preliminary stage of Diabetic Retinopathy. Computer aided microaneurysm screening is necessary to prevent the aggravation of the disease and further vision loss. In this paper, Shannon and Tsallis entropy thresholding in conjunction with Na�ve Bayes classifier is suggested for microaneurysm detection. Various shape and intensity based features are extracted to eliminate the falsely detected candidates. The proposed method is evaluated by plotting the FROC curves using the Retinopathy Online Challenge (ROC) and DIARETDB1 databases. The proposed method achieves high sensitivity values of 0.421 and 0.477 (at false positive rate of 8) using Shannon and Tsallis entropy thresholding which is better than some existing methods. � 2015 IEEE.
URI: http://dx.doi.org/10.1109/NCVPRIPG.2015.7490069
http://10.10.32.48:8080/jspui/handle/2008/1016
Appears in Collections:Research Publications

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