Mathematical-Morphology-Based edge detection of retinal vessels in retinal images

  • Authors:

  • Zhangwei Jiang;Yanchun Zhang;Jing He;Guangyan Huang;Jing Yang

  • Affiliations:

  • GUCAS-VU Joint Lab for Social Computing and E-Health Research, University of Chinese Academy of Sciences, China;Center for Applied Informatics, School of Engineering and Science, Victoria University, Australia;Center for Applied Informatics, School of Engineering and Science, Victoria University, Australia;Center for Applied Informatics, School of Engineering and Science, Victoria University, Australia;GUCAS-VU Joint Lab for Social Computing and E-Health Research, University of Chinese Academy of Sciences, China

  • Venue:
  • HIS'13 Proceedings of the second international conference on Health Information Science
  • Year:
  • 2013

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Abstract

Of all the important small and medium-sized blood vessels of the human body, retinal blood vessels are the only deep capillary that can be directly observed by a non-traumatic method. Retinal vascular morphology, such as vessel diameter, shape and distribution, is influenced by systemic diseases (Martinez-Perez, Hughes, Thom and Parker 2007). We can use digital fundus photography and analysis of retinal vascular morphology to find the relationship between the changes in vascular morphology and diabetes for the diagnosis of diseases. We aim at developing a retinal image processing system, that can analyze retinal images and provide helpful information for diagnosis.