Titlebook: Digital and Discrete Geometry; Theory and Algorithm Li M. Chen Book 2014 Springer International Publishing Switzerland 2014 Cloud Data Proc

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Alternative Image Description Techniquesigital geometry by preserving topological structures while reducing pixels or voxels. The classic methods of geometric pattern recognition such as the .-means and .-nearest neighbor algorithms are also included. The newest topic in BigData and data science is concerned with these methods.

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Book 2014data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData..The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. The book is divided

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Yoshiyuki Takano,Paul T. P. Wongecomposition) plays an important role. We give a brief introduction to the method. In addition, we also discuss some other decomposition methods. Decomposition is the method of making continuous spaces into discrete spaces. Changing from discrete spaces to continuous spaces is called fitting or reconstruction, which we discuss in Chap. 11.

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Elisabeth Vanderheiden,Claude-Hélène Mayeron. At the end of this chapter, we present two classic theorems related to 2D digital geometry: Pick’s theorem and Minkowski’s theorem. In addition, we discuss the basic concept of image segmentation, one of the major applications of 2D digital planes.

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