Abstract
This paper deals with the figure field, which is defined as the negative of the gradient vector field of the linear scale-space image. The scale-space hierarchy is obtained from the connectivity of stationary points determined by figure-field fluxes and trajectories of the stationary points in the scale space. A point at infinity plays an important role in this theory. The figure-field fluxes and the configuration of stationary points at each scale define a graph in the scale-space image. This graph describes the topological relations of segments in the original image. We employ the Voronoi tessellation to extract boundaries of the segments from the blurred linear scale-space image.
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Zhao, N.-Y., Iijima, T.: Theory on the method of determination of view-point and field of vision during observation and measurement of figure. IEICE Japan, Trans. D. J68-D, 508–514 (1985) (in Japanese)
Zhao, N.-Y., Iijima, T.: A theory of feature extraction by the tree of stable view-points. IEICE Japan, Trans. D. J68-D, 1125–1135 (1985) (in Japanese)
Imiya, A., Sugiura, T., Sakai, T., Kato, Y.: Temporal structure tree in digital linear scale space. In: Griffin, L.D., Lillholm, M. (eds.) Scale-Space 2003. LNCS, vol. 2695, pp. 356–371. Springer, Heidelberg (2003)
Griffin, L.D., Colchester, A.: Superficial and deep structure in linear diffusion scale space: Isophotes, critical points and separatrices. Image and Vision Computing 13(7), 543–557 (1995)
Kuijper, A., Florack, L.M.J., Viergever, M.A.: Scale Space Hierarchy. Journal of Mathematical Imaging and Vision 18(2), 169–189 (2003)
Olsen, O.F., Nielsen, M.: Generic events for the gradient squared with application to multi-scale segmentation. In: ter Haar Romeny, B.M., Florack, L.M.J., Viergever, M.A. (eds.) Scale-Space 1997. LNCS, vol. 1252, pp. 101–112. Springer, Heidelberg (1997)
Okabe, A., Boots, B., Sugihara, K.: Spatial Tessellations - Concepts and Applications of Voronoi Diagrams. John Wiley and Sons, Chichester (1992)
Aurenhammer, F., Klein, R.: Voronoi Diagrams. In: Sack, J.-R., Urrutia, J. (eds.) Handbook of Computational Geometry, Ch. 5, pp. 201–290. Elsevier, Amsterdam (2000)
Lindeberg, T.: Scale-Space Theory in Computer Vision. Kluwer, Boston (1994)
Brain Web, http://www.bic.mni.mcgill.ca/brainweb/
Perona, P., Malik, J.: Scale space and edge detection using anisotropic diffusion. IEEE Trans. on Pat. Anal. and March. Int. 12(7), 629–639 (1990)
Weickert, J.: Applications of nonlinear diffusion in Image Processing. Teubner, Stuttgart (1998)
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Sakai, T., Imiya, A. (2005). Figure Field Analysis of Linear Scale-Space Image. In: Kimmel, R., Sochen, N.A., Weickert, J. (eds) Scale Space and PDE Methods in Computer Vision. Scale-Space 2005. Lecture Notes in Computer Science, vol 3459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408031_32
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DOI: https://doi.org/10.1007/11408031_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25547-5
Online ISBN: 978-3-540-32012-8
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