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Mathematical-Morphology-Based Edge Detection of Retinal Vessels in Retinal Images

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Health Information Science (HIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7798))

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Introduction

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.

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References

  1. Martinez-Perez, M.E., Hughes, A.D., Thom, S.A., Parker, K.H.: Improvement of a retinal blood vessel segmentation method using the Insight Segmentation and Registration Toolkit (ITK). In: Proc. IEEE 29th Annual Int. Conf. EMBS, Lyon, France, pp. 892–895 (2007)

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  3. Mohammad, S.M., Ali, M.: Retinal Image Analysis Using Curvelet Transform and Multi-Structure Elements Morphology by Reconstruction. IEEE Tran. (2002)

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  4. Zhao, Y., Gui, W., Chen, Z.: A Multi-structure Elements Algorithm for Image Edge-detection Based on Mathematical Morphology. Intelligent Control and Automation (2005)

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Author information

Authors and Affiliations

  1. GUCAS-VU Joint Lab for Social Computing and E-Health Research, University of Chinese Academy of Sciences, China

    Zhangwei Jiang & Jing Yang

  2. Center for Applied Informatics, School of Engineering and Science, Victoria University, Australia

    Yanchun Zhang, Jing He & Guangyan Huang

Authors
  1. Zhangwei Jiang
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  2. Yanchun Zhang
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  3. Jing He
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  4. Guangyan Huang
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  5. Jing Yang
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Editor information

Editors and Affiliations

  1. Centre for Applied Informatics, Victoria University, 3011, Melbourne, VIC, Australia

    Guangyan Huang  & Jing He  & 

  2. School of Information System, Computing, and Mathematics, Brunel University, UB8 3PH, London, UK

    Xiaohui Liu

  3. Department of Computer Science, Ostfalia University of Applied Sciences, Salzdahlumer Str. 46/48, Wolfenbüttel, Germany

    Frank Klawonn

  4. Health Economics, Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK

    Guiqing Yao

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© 2013 Springer-Verlag Berlin Heidelberg

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Jiang, Z., Zhang, Y., He, J., Huang, G., Yang, J. (2013). Mathematical-Morphology-Based Edge Detection of Retinal Vessels in Retinal Images. In: Huang, G., Liu, X., He, J., Klawonn, F., Yao, G. (eds) Health Information Science. HIS 2013. Lecture Notes in Computer Science, vol 7798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37899-7_24

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  • DOI: https://doi.org/10.1007/978-3-642-37899-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37898-0

  • Online ISBN: 978-3-642-37899-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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