Abstract
In this paper, we introduce persistent homology for graph-like digital images as a new type of computation of digital homology groups. We calculate persistent homology groups of some graph-like digital images. Moreover, we prove some theorems related to a singleton point and \(\kappa \)-connected graph-like digital images. It has been shown that identity and composition axioms are satisfied for digital persistent homology groups. Finally, we give some applications of the new theory to image processing.
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Arslan, H., Karaca, I.: Homology groups of \(n\)-dimensional digital images. XXI. Turk. Natl. Math. Symp. B, 1–13 (2008)
Bertrand, G.: Simple points, topological numbers and geodesic neighborhoods in cubic grids. Pattern Recogn. Lett. 15, 1003–1011 (1994)
Bertrand, G., Malgouyres, R.: Some topological properties of discrete surfaces. J. Math. Imag. Vis. 20, 207–221 (1999)
Boxer, L.: Digitally continuous functions. Pattern Recogn. Lett. 15, 833–839 (1994)
Boxer, L.: A classical construction for the digital fundamental group. J. Math. Imag. Vis. 10, 51–62 (1999)
Boxer, L.: Properties of digital homotopy. J. Math. Imag. Vis. 22, 19–26 (2005)
Boxer, L.: Homotopy properties of sphere-like digital images. J. Math. Imag. Vis. 24, 167–175 (2006)
Boxer, L.: Digital products, wedges and covering spaces. J. Math. Imag. Vis. 25, 159–171 (2006)
Boxer, L.: Continuous maps on digital simple closed curves. Appl. Math. 1, 377–386 (2010)
Boxer, L., Karaca, I., Oztel, A.: Topological invariants in digital images. J. Math. Sci. Adv. Appl. 11(2), 109–140 (2011)
Brimkov, V.E., Klette, R.: Curves, hypersurfaces, and good pairs of adjacency relations. In: Klette, R., Zunic, J. (eds.) Combinatorial Image Analysis, IWCIA 2004. Lecture Notes in Computer Science, vol. 3322, pp. 276–290. Springer, Berlin (2004)
Carlsson, G.: Topology and data. Bull. Am. Math. Soc. 46(2), 255–308 (2009)
Demir, E.U., Karaca, I.: Simplicial homology groups of certain digital surfaces. Hacettepe J. Math. Stat. 44(5), 1011–1022 (2015)
Edelsbrunner, H., Letscher, D., Zomorodian, A.: Topological persistence and simplification. Discret. Comput. Geom. 28, 511–533 (2002)
Edelsbrunner, H.: Persistent homology–a survey. Contemp. Math. 453, 257–282 (2008)
Edelsbrunner, H., Harer, J.L.: Computational Topology:An Introduction. American Mathematical Society. pp. 147–174 (2010)
Edelsbrunner, H.: Persistent homology in image processing. In: International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013: Graph-Based Representations in Pattern Recognition. pp. 182–183 (2013)
Edelsbrunner, H., Jablonski, G., Mrozek, M.: The persistent homology of a self-map. Found. Comput. Math. 15, 1213–1244 (2015)
Ege, O., Karaca, I.: Fundamental properties of simplicial homology groups for digital images. Am. J. Comput. Technol. Appl. 1(2), 25–42 (2013)
Ege, O., Karaca, I.: Cohomology theory for digital images, Romanian. J. Inf. Sci. Technol. 16(1), 10–28 (2013)
Ege, O., Karaca, I., Ege, M.E.: Relative homology groups of digital images. Appl. Math. Inf. Sci. 8(5), 2337–2345 (2014)
Ege, O., Karaca, I.: Graph topology on finite digital images. Utilitas Math. 109, 211–218 (2018)
Gamble, J., Heo, G.: Exploring uses of persistent homology for statistical analysis of landmark-based shape data. J. Multivar. Anal. 101, 2184–2199 (2010)
Ghrist, R.: Barcodes: the persistent topology of data. Bull. Am. Math. Soc. 45(1), 61–75 (2007)
Han, S.E.: Minimal simple closed \(18\)-surfaces and a topological preservation of \(3D\) surfaces. Inf. Sci. 176(2), 120–134 (2006)
Herman, G.T.: Oriented surfaces in digital spaces. CVGIP Gr. Models Image Process. 55, 381–396 (1993)
Karaca, I., Ege, O.: Some results on simplicial homology groups of 2D digital images. Int. J. Inf. Comput. Sci. 1(8), 198–203 (2012)
Malgouyres, R., Bertrand, G.: A new local property of strong \(n\)-surfaces. Pattern Recogn. Lett. 20, 417–428 (1999)
Otter, N., Porter, M.A., Tillmann, U., Grindrod, P., Harrington, H.A.: A roadmap for the computation of persistent homology. EPJ Data Sci. 6(17), 1–38 (2017)
Qaiser, T., Sirinukunwattana, K., Nakane, K., Tsang, Y.W., Epstein, D., Rajpoot, N.: Persistent homology for fast tumor segmentation in whole slide histology images. Proced. Comput. Sci. 90, 119–124 (2016)
Romero, A., Rubio, J., Sergeraert, F.: Effective persistent homology of digital images. pp. 1–22. arxiv: 1412.6154v1 (2014)
Spanier, E.: Algebraic Topology, pp. 108–110. McGraw-Hill, New York, NY (1966)
Takiyama, A., Teramoto, T., Suzuki, H., Yamashiro, K., Tanaka, S.: Persistent homology index as a robust quantitative measure of immunohistochemical scoring. Sci. Rep. 7, 14002 (2017)
Zomorodian, A., Carlsson, G.E.: Computing persistent homology. Discret. Computat. Geom. 33(2), 249–274 (2005)
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Ege, O., Karaca, I. Persistent homology of graph-like digital images. Annali di Matematica 199, 2167–2179 (2020). https://doi.org/10.1007/s10231-020-00962-x
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DOI: https://doi.org/10.1007/s10231-020-00962-x