Abstract
3-D visualization of optic disk surface is very useful in diagnosis and observation of some eye diseases. It helps physicians in understanding and interpreting the stereo disc photographs(SDPs) which is widely used in clinical situations. This paper proposed a segment-based stereo matching algorithm, which represents the fundus structure as a Bayesian network and applies belief propagation(BP) to solve the maximum a posterior(MAX) estimation. Only ground control pixels(GCPs) of the BP results are retrieved and the dense disparity map is obtained by cubic interpolation and Gaussian blurring to ensure smoothness. The resulted 3-D retinal surface shows our approach is promising.
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Zhang, K., Xi, X., Li, Z., Guoping, W. (2005). Stereo Matching and 3-D Reconstruction for Optic Disk Images. 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_52
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DOI: https://doi.org/10.1007/11569541_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29411-5
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