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

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.

Inspec keywords: image segmentation; image texture; neurophysiology; medical image processing; blood vessels; tumours; biomedical optical imaging; cancer

Other keywords: mean curvature; OD boundary; DRISHTI-GS database images; texture constrained composite weighted random walk algorithm; deformable model-based OD segmentation techniques; optic disc segmentation; dice coefficient; mean absolute distance; Gabor texture energy features; MESSIDOR database images; DIARETDB1 database images; quantitative performance; edge weights; local energy minima problem; composite weight function; fundus imaging; blood vessel occlusion; curve initialisation; overlapping ratio; DRIVE database images; cup-disc ratio-based glaucoma screening; random walk algorithm

Subjects: Computer vision and image processing techniques; Optical and laser radiation (medical uses); Biophysics of neurophysiological processes; Optical and laser radiation (biomedical imaging/measurement); Optical, image and video signal processing; Patient diagnostic methods and instrumentation; Biology and medical computing

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