Titlebook: Combinatorial Image Analysis; 11th International W Ralf Reulke,Ulrich Eckardt,Konrad Polthier Conference proceedings 2006 Springer-Verlag B

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Polygonal Approximation of Point Setsnts (surface patches) are known. In particular, point sets can be obtained by laser range scanner mounted on a moving robot or given as edge pixels/voxels in digital images. Polygonal approximation of edge pixels can also be interpreted as grouping of edge pixels to parts of object contours. The pre

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Linear Discrete Line Recognition and Reconstruction Based on a Generalized Preimagecross a given set of pixels. Moreover, pixels can be considered in any order and do not need to be connected. A new invertible 2D discrete curve reconstruction algorithm based on the proposed recognition method completes this paper. This algorithm computes a polygonal line so that its standard digit

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Digital Line Recognition, Convex Hull, Thickness, a Unified and Logarithmic Techniqueharacterization of the DSS is purely geometrical: all the points must lie between two lines whose distance (relative to the infinite norm) is less than 1. A common approach used to solve this question is to compute the convex hull of the given points. Recent papers explain how to update the minimum

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On the Notion of Dimension in Digital Spacese an alternative one for the case of planar digital objects. It makes up certain shortcomings of the definition from [17] and implies dimensionality properties analogous to those familiar from classical topology. We also establish relations between dimension of digital objects and their Euler charac

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Susan A. Howell,Alireza Abdolrasouli operations where . is a bound on all integers defining vertices and edges. We also provide an incremental version of the algorithm whose update complexity is shown to be .(log . + log .). We apply this algorithm to construct the arithmetical line with minimal thickness, which contains a given set o

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