Digital Image Processing
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Glaucoma is an eye disease that causes progressive optic neuropathy and vision loss due to degeneration of the optic nerves. Cup to disc ratio (CDR) is the standard measure for evaluation of glaucoma. It is difficult to estimate the value of CDR if the boundaries of cup and disc are not well defined. In this work, we propose a novel method based on differential entropy (DE) for evaluation of glaucoma. DE can be used as a measure of glaucoma as it is proportional to the probability of number of glaucoma pixels in wavelet sub-bands. It has been shown that DE or negentropy value of 0.25 as an optimum threshold for glaucoma detection. This method is evaluated and its performance is compared with three existing methods using 54 retinal images. The proposed method shows the best result with an accuracy value of 92.59%. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 161–165, 2012 © 2012 Wiley Periodicals, Inc.