2008 · 22 citations · 12 references
ComputingComputer ScienceOphthalmologyComputer VisionMachine VisionOcular ImagingImage AnalysisImage SegmentationMedical Image AnalysisOphthalmic ImagingRetinal ExaminationRetinal ImagingAutomated Retinal Image AnalysisContrastDiabetic Retinopathy DetectionFilteringOptic Disc ImagingRetinal Image ProcessingWatershed Segmentation
The optic disc (OD) and exudates form the main features of fundus images for diagnosing eye disease such as diabetic retinopathy and glaucoma. In this paper, an algorithm for the extraction of OD and exudates from fundus images based on marker controlled watershed segmentation is presented. The proposed algorithm makes use of average filtering and contrast adjustment as preprocessing steps before the watershed transformation is applied. The performance of the proposed algorithm is evaluated using the test images of STARE and DRIVE databases. The results are compared with those reported earlier in the literature. It is shown that the proposed method can yield an average sensitivity value of 94%, which is higher than the value reported earlier.
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Axel Pinz, Stefan Bernögger, Peter Datlinger et al. · IEEE Transactions on Medical Imaging · 1998 · 234 citations
An effective approach to detect lesions in color retinal images
Huan Wang, Wynne Hsu, Kheng Guan Goh et al. · 2002 · 186 citations