Abstract
This paper suggests a new diffusion method, which based on modified coherence diffusion for the enhancement of ocular fundus images (OFI) and parallel AOS scheme is applied to speed algorithm, which is faster than usual approach and shows good performance. A structure tensor integrating the second-order directional differential information is applied to analyze weak edges, narrow peak, and vessels structures of OFI in diffusion. The structure tensor and the classical one as complementary descriptor are used to build the diffusion tensor. The several experiment results are provided and suggest that it is a robust method to prepare image for intelligent diagnosis and instruction for treatment of ocular diseases. The modified diffusion for the enhancement of OFI can preserve important oriented patterns, including strong edges and weak structures.
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References
Diewald, U., Preusser, T., Rumpf, M., Strzodka, R.: Diffusion models and their accelerated solution in image and surface processing. Acta Math. Univ. Comenianae. 1, 15–31 (2001)
Joachim, W.: A review of nonlinear diffusion filtering. In: ter Haar Romeny, B.M., Florack, L.M.J., Viergever, M.A. (eds.) Scale-Space 1997. LNCS, vol. 1252, pp. 3–28. Springer, Heidelberg (1997)
Joachim, W.: Coherence-enhancing diffusion of colour images. Image and Vision Computing 17, 201–212 (1999)
Bakalexis, S.A., Boutalis, Y.S., Mertzios, B.G.: Edge detection and image segmentation based on nonlinear anisotropic diffusion. Digital Signal Processing 2, 1203–1206 (2002)
Pietro, P., Jitendra, P.: Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Transactions on Machine Intelligence 12, 629–639 (1990)
Thomas, B., Joachim, W.: Nonlinear matrix diffusion for optic flow estimation. In: Van Gool, L. (ed.) DAGM 2002. LNCS, vol. 2449, pp. 446–453. Springer, Heidelberg (2002)
Joachim, W., Zuiderveld, K.J., ter Haar Romeny, B.M., Niessen, W.J.: Parallel implementations of AOS schemes: A fast way of Nonlinear diffusion filtering. In: Proc. 1997 IEEE International Conference on Image Processing, vol. 3, pp. 396–399 (1997)
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© 2005 Springer-Verlag Berlin Heidelberg
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Yan, L., Ma, J., Wang, W., Liu, Q., Zhou, Q. (2005). A Novel Approach to Ocular Image Enhancement with Diffusion and Parallel AOS Algorithm. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_1
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DOI: https://doi.org/10.1007/11538059_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28226-6
Online ISBN: 978-3-540-31902-3
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