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Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

  • Conference paper
Computer Vision for Biomedical Image Applications (CVBIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3765))

Abstract

Automated image analysis tools have the potential to play an important role in assisting in the diagnosis and treatment of retinal diseases. Problems that must be addressed in developing these tools include extraction of vascular and non-vascular features, segmentation of pathologies, unimodal and multimodal image registration, mosaic construction, and real-time systems. Research at Rensselaer Polytechnic Institute since the late 1990’s has focused on several of these problems. Most significantly, we have developed a series of registration and mosaic formation algorithms which have been validated on thousands of retinal images and have been extended beyond the retina application. While the core fundus image registration problem is essentially solved, important problems remain in many aspects of retinal image analysis.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA

    Charles V. Stewart

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  1. Charles V. Stewart
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Editors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Yanxi Liu

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    Tianzi Jiang

  3. State Key Laboratory for Intelligent Technology and Systems, Department of Automation, Faculty of Information Science and Technology, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Stewart, C.V. (2005). Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_6

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  • DOI: https://doi.org/10.1007/11569541_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29411-5

  • Online ISBN: 978-3-540-32125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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