Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

Rashmi Panda; N.B. Puhan; Ganapati Panda

Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

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Author(s): Rashmi Panda¹ ; N.B. Puhan¹ ; Ganapati Panda¹
- Affiliations: 1: School of Electrical Sciences , Indian Institute of Technology Bhubaneswar , Bhubaneswar, Odisha 752050 , India
Source: Volume 5, Issue 1, February 2018, p. 31 – 37
DOI: 10.1049/htl.2017.0043 , Online ISSN 2053-3713

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

Received 31/05/2017, Accepted 25/08/2017, Revised 04/08/2017, Published 05/01/2018

Accurate optic disc (OD) segmentation is an important step in obtaining cup-to-disc ratio-based glaucoma screening using fundus imaging. It is a challenging task because of the subtle OD boundary, blood vessel occlusion and intensity inhomogeneity. In this Letter, the authors propose an improved version of the random walk algorithm for OD segmentation to tackle such challenges. The algorithm incorporates the mean curvature and Gabor texture energy features to define the new composite weight function to compute the edge weights. Unlike the deformable model-based OD segmentation techniques, the proposed algorithm remains unaffected by curve initialisation and local energy minima problem. The effectiveness of the proposed method is verified with DRIVE, DIARETDB1, DRISHTI-GS and MESSIDOR database images using the performance measures such as mean absolute distance, overlapping ratio, dice coefficient, sensitivity, specificity and precision. The obtained OD segmentation results and quantitative performance measures show robustness and superiority of the proposed algorithm in handling the complex challenges in OD segmentation.

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Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

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