A new biometric approach and efficient system for automatic detection and analysis of digital retinal images

Shulga O.A., Saakyan S.V., Skladnev D.A.
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The program for automatic revealing of threshold values for characterizing physiological state of vessels and detection of early stages of retina pathology is offered. The algorithm is based on checking character of crossing sites of vessel images with the "mask" consisting of concentric circumferences (the first circumference is imposed directly on the sclera capsules of an optic nerve disk). The new method allows revealing of a network of blood vessels and flanking zones and detection of initial stage of pathological changes in a retina by digital images.

Keywords: digital retina image, automatic image analysis, early stages of retina pathology
Citation in English: Shulga O.A., Saakyan S.V., Skladnev D.A. A new biometric approach and efficient system for automatic detection and analysis of digital retinal images // Computer Research and Modeling, 2010, vol. 2, no. 2, pp. 189-197
Citation in English: Shulga O.A., Saakyan S.V., Skladnev D.A. A new biometric approach and efficient system for automatic detection and analysis of digital retinal images // Computer Research and Modeling, 2010, vol. 2, no. 2, pp. 189-197
DOI: 10.20537/2076-7633-2010-2-2-189-197
URL: http://crm-en.ics.org.ru/journal/article/1701/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
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