Computers and Biomedical Research
Multilocal creaseness based on the level-set extrinsic curvature
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Personal authentication using digital retinal images
Pattern Analysis & Applications
Evaluating retina image fusion based on quantitative approaches
WSEAS Transactions on Computers
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The screening process is a very valuable method for prevention of many pathologies including Diabetic retinopathy. Typically, a large amount of images have to be analyzed as diabetic patients have both their eyes examined at least once a year. To effectively manage all this information and the workload it produces, automatic techniques for analyzing the images are required. These techniques must be robust, sensitive and specific to be implemented in real-life screening applications. In this work an algorithm for the detection of red lesions in digital color fundus photographs is proposed. The method performs in three stages: in the first stage points candidates to be red lesions are obtained by using a set of correlation filters working in different resolutions, allowing that way the detection of a wider set of points. Then, in the second stage, a region growing segmentation process rejects the points from the prior stage whose size does not fit in the red lesion pattern. Finally, in the third stage three test are applied to the output of the second stage: a shape test to remove non-circular areas, an intensity test to remove that areas belonging to the fundus of the retina and finally a test to remove the points which fall inside the vessels (only lesions outside the vessels are considered). Evaluation was performed on a test composed on images representative of those normally found in a screening set. Moreover, comparison with manually-obtained results from clinical experts are performed, to set the accuracy and reliability of the method.