Abstract
In this paper we design a new family of relations between (co)homology classes, working with coefficients in a field and starting from an AT-model (Algebraic Topological Model) AT(C) of a finite cell complex C These relations are induced by elementary relations of type “to be in the (co)boundary of” between cells. This high-order connectivity information is embedded into a graph-based representation model, called Second Order AT-Region-Incidence Graph (or AT-RIG) of C. This graph, having as nodes the different homology classes of C, is in turn, computed from two generalized abstract cell complexes, called primal and dual AT-segmentations of C. The respective cells of these two complexes are connected regions (set of cells) of the original cell complex C, which are specified by the integral operator of AT(C). In this work in progress, we successfully use this model (a) in experiments for discriminating topologically different 3D digital objects, having the same Euler characteristic and (b) in designing a parallel algorithm for computing potentially significant (co)homological information of 3D digital objects.
This work has been supported by the Spanish research projects MTM2016-81030-P (AEI/FEDER, UE) and TEC2012-37868-C04-02, and by the VPPI of the University of Seville. Darian Onchis gratefully acknowledges the support of the Austrian Science Fund FWF-P27516.
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References
Alexandroff, P.S.: Combinatorial Topology. Dover, New York (1998)
Ayala, R., Domínguez, E., Francés, A.R., Quintero, A.: Homotopy in digital spaces. In: Borgefors, G., Nyström, I., di Baja, G.S. (eds.) DGCI 2000. LNCS, vol. 1953, pp. 3–14. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-44438-6_1
Boykov, Y.Y., Jolly, M.P.: Interactive graph cuts for optimal boundary and region segmentation of objects in ND images. In: Proceedings of Eighth IEEE International Conference on Computer Vision, vol. 1, pp. 105–112 (2001)
Cadek, M., Krcal, M., Matousek, J., Vokrinek, L., Wagner, U.: Polynomial-time computation of homotopy groups and Postnikov systems in fixed dimension. SIAM J. Comput. 43(5), 1728–1780 (2014)
Carr, H.A., Weber, G.H., Sewell, C.M., Ahrens, J.P.: Parallel peak pruning for scalable SMP contour tree computation. In: IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV), pp. 75–84 (2016)
Couprie, M., Bertrand, G.: Asymmetric parallel 3D thinning scheme and algorithms based on isthmuses. Pattern Recogn. Lett. 76, 22–31 (2016)
Delfinado, C.J.A., Edelsbrunner, H.: An incremental algorithm for Betti numbers of simplicial complexes on the 3-sphere. Comput. Aided Geom. Des. 12(7), 771–784 (1995)
Díaz-del-Río, F., Real, P., Onchis, D.: A parallel homological spanning forest framework for 2D topological image analysis. Pattern Recogn. Lett. 83, 49–58 (2016)
De Floriani, L., Mesmoudi, M.M., Morando, F., Puppo, E.: Decomposing non-manifold objects in arbitrary dimensions. Graph. Models 65(1), 2–22 (2003)
Dumas, J.G., Saunders, B.D., Villard, G.: On efficient sparse integer matrix Smith normal form computations. J. Symbol. Comput. 32(1), 71–99 (2001)
Eilenberg, S., Mac Lane, S.: On the groups \(H (\pi, n)\), II: methods of computation. Ann. Math. 60, 49–139 (1954)
Forman, R.: Morse theory for cell complexes. Adv. Math. 134, 90–145 (1998)
Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology matching for fully automatic similarity estimation of 3D shapes. In: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, pp. 203–212. ACM (2001)
De Floriani, L., Fugacci, U., Iuricich, F.: Homological shape analysis through discrete morse theory. In: Breuß, M., Bruckstein, A., Maragos, P., Wuhrer, S. (eds.) Perspectives in Shape Analysis. MV, pp. 187–209. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-24726-7_9
Dumas, J.G., Heckenbach, F., Saunders, D., Welker, V.: Computing simplicial homology based on efficient Smith normal form algorithms. In: Joswig, M., Takayama, N. (eds.) Algebra, Geometry and Software Systems, pp. 177–206. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-662-05148-1_10
Fiorio, C.: A topologically consistent representation for image analysis: the frontiers topological graph. In: Miguet, S., Montanvert, A., Ubéda, S. (eds.) DGCI 1996. LNCS, vol. 1176, pp. 151–162. Springer, Heidelberg (1996). https://doi.org/10.1007/3-540-62005-2_13
González-Díaz, R., Real, P.: On the cohomology of 3D digital images. Discret. Appl. Math. 147(2), 245–263 (2005)
González-Díaz, R., Jiménez, M.J., Medrano, B., Real, P.: Chain homotopies for object topological representations. Discret. Appl. Math. 157(3), 490–499 (2009)
Gonzalez-Lorenzo, A., Bac, A., Mari, J.L., Real, P.: Allowing cycles in discrete Morse theory. Topol. Appl. 228, 1–35 (2017)
Günther, D., Reininghaus, J., Wagner, H., Hotz, I.: Efficient computation of 3D Morse-Smale complexes and persistent homology using discrete Morse theory. Vis. Comput. 28(10), 959–969 (2012)
Haarmann, J., Murphy, M.P., Peters, C.S., Staecker, P.C.: Homotopy equivalence in finite digital images. J. Math. Imaging Vis. 53(3), 288–302 (2015)
Harker, S., Mischaikow, K., Mrozek, M., Nanda, V.: Discrete Morse theoretic algorithms for computing homology of complexes and maps. Found. Comput. Math. 14(1), 151–184 (2014)
Hurewicz, W.: Homology and homotopy theory. In: Proceedings of the International Mathematical Congress, p. 344 (1950)
Klette, R.: Cell complexes through time. In: International Symposium on Optical Science and Technology, pp. 134–145. International Society for Optics and Photonics (2000)
Kong, T.Y., Rosenfeld, A.: Topological Algorithms for Digital Image Processing, vol. 19. Elsevier, Amsterdam (1996)
Kovalevsky, V.: Algorithms in digital geometry based on cellular topology. In: Klette, R., Žunić, J. (eds.) IWCIA 2004. LNCS, vol. 3322, pp. 366–393. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30503-3_27
Lefschetz, S.: Algebraic Topology, American Mathematical Society Colloquium Publications, vol. 27. American Mathematical Society, New York (1942)
Lienhardt, P.: Topological models for boundary representation: a comparison with n-dimensional generalized maps. Comput. Aided Des. 23(1), 59–82 (1991)
Menger, K.: Allgemeine Räume und Cartesische Räume, Teil I, Amsterdam, pp. 476–482 (1926)
Molina-Abril, H., Real, P., Nakamura, A., Klette, R.: Connectivity calculus of fractal polyhedrons. Pattern Recogn. 48(4), 1150–1160 (2015)
Molina-Abril, H., Real, P.: Homological spanning forest framework for 2D image analysis. Ann. Math. Artif. Intell. 64, 1–25 (2012)
Molina-Abril, H., Real, P.: Homological optimality in Discrete Morse Theory through chain homotopies. Pattern Recogn. Lett. 11, 1501–1506 (2012)
Munkres, J.R.: Elements of Algebraic Topology. Addison-Wesley, Boston (1984)
Palmieri, J.H: Sage Module: Algebraic-Topological Model for a Cell Complex (2015). http://doc.sagemath.org/
Pilarczyk, P., Real, P.: Computation of cubical homology, cohomology and (co)homological operations via chain contractions. Adv. Comput. Math. 41(1), 253–275 (2015)
Pudney, C.: Distance-ordered homotopic thinning: a skeletonization algorithm for 3D digital images. Comput. Vis. Image Underst. 72(3), 404–413 (1998)
Real, P., Molina-Abril, H., Gonzalez-Lorenzo, A., Bac, A., Mari, J.L.: Searching combinatorial optimality using graph-based homology information. Appl. Algebra Eng. Commun. Comput. 26(1–2), 103–120 (2015)
Real, P., Diaz-del-Rio, F., Onchis, D.: Toward parallel computation of dense homotopy skeletons for nD digital objects. In: Brimkov, V.E., Barneva, R.P. (eds.) IWCIA 2017. LNCS, vol. 10256, pp. 142–155. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59108-7_12
Romero, A., Rubio, J., Sergeraert, F.: Effective homology of filtered digital images. Pattern Recogn. Lett. 83, 23–31 (2016)
Robins, V., Wood, P.J., Sheppard, A.P.: Theory and algorithms for constructing discrete Morse complexes from grayscale digital images. IEEE Trans. Pattern Anal. Mach. Intell. 33(8), 1646–1658 (2011)
Saha, P.K., Borgefors, G., di Baja, G.S.: A survey on skeletonization algorithms and their applications. Pattern Recogn. Lett. 76, 3–12 (2016)
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Real, P., Molina-Abril, H., Díaz del Río, F., Onchis, D. (2019). Generating Second Order (Co)homological Information within AT-Model Context. In: Marfil, R., Calderón, M., Díaz del Río, F., Real, P., Bandera, A. (eds) Computational Topology in Image Context. CTIC 2019. Lecture Notes in Computer Science(), vol 11382. Springer, Cham. https://doi.org/10.1007/978-3-030-10828-1_6
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