Abstract
This paper presents a new approach for 2D object segmentations using an automatic method applied on images with severe noise conditions and locating objects with a very high degree of deformation. We use a physically-based shape model to obtain a deformable template, which is defined on a canonical ortogonal coordinate system. The proposed methodology works from a set of samples and from the output of an edge detector to segment the objects by using a reformulated Hough transform (automatic initialization) together with an optimization procedure (on a learned surface of deformation). Results from biomedical images are presented.
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D.H. Ballard, Generalizing the Hough Transform to Detect Arbitrary Shapes, Pattern Recognition, vol. 13, pp. 111–122, 1981.
K. Bathe. Finite Element Procedures, Prentice-Hall, 1996.
J. Canny, A computational approach to edge detection, IEEE Trans. PAMI, vol. 8, n. 6, pp 679–698, 1986.
L. D. Cohen and I. Cohen, Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images, IEEE Trans. PAMI, vol. 15, no. 11, pp 1131–1147, 1993.
T.F. Cootes, C.J. Taylor, D.H. Cooper and J. Graham, Active shape models — their training and application, Computer vision and image understanding, vol. 61(1), 38–59, 1995.
J. Illingworth, and J. Kittler, A Survey of the Hough transform, Comput. Vision, Graph & Image Process., Vol 44, pp 87–116, 1988.
F. Leymarie and M.D. Levine, Tracking Deformable Objects in the Plane Using and Active Contour Model, IEEE Trans. PAMI, vol. 15, N. 6, pp. 617–634, June 1993.
A. Pentland and S. Sclaroff. Closed-form solutions for physically-based shape modeling and recognition. IEEE Trans. PAMI, 13(7), pp. 715–729, July 1991.
T. Poggio and V. Torre, Ill-posed Problems and Regularization Analysis in Early Vision, Proc. of AARPA Image Understanding Workshop, pp. 257–263, 1984.
S. Sclaroff and A. Pentland. Modal Matching for Correspondence and Recognition, IEEE Trans. PAMI, vol 17, no. 6, pp 545–561, 1995.
A.L. Yuille, P.W. Hallinan and D.S. Cohen, Feature Extraction from faces using deformables templates, Int. Jour. Computer Vision, vol. 8, no. 2, 99–111, 1992.
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© 1997 Springer-Verlag Berlin Heidelberg
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Garrido, A., Pérez De La Blanca, N., García-Silvente, M. (1997). A new methodology to automatically segment biomedical images. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_145
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DOI: https://doi.org/10.1007/3-540-63508-4_145
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