Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
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Date
2011-11-28
Journal Title
Journal ISSN
Volume Title
Publisher
International Conference on Robotics, Vision, Information, and Signal Processing
Abstract
Automatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage also removes noise present in the image. Segmentation stage clusters the image into two distinct classes while the abnormalities detection stage was used to distinguish between candidate lesions and other information. Methods of diagnosis of red spots, bleeding and detection of vein-artery crossover points have also been developed in this work using the color information, shape, size, object length to breadth ration as contained in the acquired digital fundus image. The algorithm was tested with a separate set of 25 fundus images. From this, the result obtained for Microaneurysms and Haemorrhages diagnosis shows the appropriateness of the method.
Description
Keywords
Diabetic Retinopathy, Fundus Image, Digital Image Processing, Segmentation, Retina
Citation
Aibinu, A. M., Iqbal, M. I., Nilsson, M., & Salami, M. J. E. (2007, November). Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques. In International Conference on Robotics, Vision, Information, and Signal Processing (pp. 510-515).