Abstract
We propose a novel approach to blood vessel detection in retinal images using shape-based multi-threshold probing. On an image set with hand-labeled ground truth our algorithm quantitatively demonstrates superior performance over the basic thresholding and another method recently reported in the literature. The core of our algorithm, classification-based multi-threshold probing, represents a general framework of segmentation that has not been explored in the literature thus far. We expect that the framework may be applied to a variety of other tasks.
The work was supported by the Stiftung OPOS Zugunsten von Wahrnehmungsbehinderten, St. Gallen, Switzerland.
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References
S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Trans. on Medical Imaging, 8(3): 263–269, 1989.
W.E. Hart and M. Goldbaum, Registering retinal images using automatically selected control point pairs, Proc. of ICIP, 576–580, 1994.
A. Hoover and M. Goldbaum, Fuzzy convergence, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, 716–721, 1998.
A. Hoover, V. Kouznetsova, and M. Goldbaum, Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response, IEEE Trans. on Medical Imaging, 19(3): 203–210, 2000.
S.U. Lee, S.Y. Chung, and R.H. Park, A comparative performance study of several global thresholding techniques for segmentation, Computer Vision, Graphics, and Image Processing, 52: 171–190, 1990.
F. Leymarie and M.D. Levine, Fast raster scan distance propagation on the discrete rectangular lattice, CVGIP: Image Understanding, 55(1), 84–94, 1992.
G. Malandain and S.F. Vidal, Euclidean skeletons, Image and Vision Computing, 16: 317–327, 1998.
F.P. Miles and A.L. Nuttall, Matched filter estimation of serial blood vessel diameters from video images, IEEE Trans. on Medical Imaging, 12(2): 147–152, 1993.
T.N. Pappas and J.S. Lim, A new method for estimation of coronary artery dimensions in angiograms, IEEE Trans. on Acoustic, Speech, and Signal Processing, 36(9): 1501–1513, 1988.
C. Perra, M. Petrou, and D.D. Giusto, Retinal image segmentation by watersheds, Proc. of IAPR Workshop on Machine Vision Applications, 315–318, Tokyo, 2000.
P.K. Sahoo, S. Soltani, A.K.C. Wong, and Y.C. Chen, A survey of thresholding techniques, Computer Vision, Graphics, and Image Processing, 41: 233–260, 1988.
S. Tamura, Y. Okamoto, and K. Yanashima, Zero-crossing interval correction in tracing eye-fundus blood vessel, Pattern Recognition, 21(3): 227–233, 1988.
Y.A. Tolias and S.M. Panas, A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering, IEEE Trans. on Medical Imaging, 17(2): 263–273, 1998.
F. Zana and J.C. Klein, A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform, IEEE Trans. on Medical Imaging, 18(5): 419–428, 1999.
L. Zhou, M.S. Rzeszotarki, L.J. Singerman, and J.M. Chokreff, The detection and quantification of retinopathy using digital angiograms, IEEE Trans. on Medical Imaging, 13(4): 619–626, 1994.
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Jiang, X., Mojon, D. (2001). Blood Vessel Detection in Retinal Images by Shape-Based Multi-Threshold Probing. In: Radig, B., Florczyk, S. (eds) Pattern Recognition. DAGM 2001. Lecture Notes in Computer Science, vol 2191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45404-7_6
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DOI: https://doi.org/10.1007/3-540-45404-7_6
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