Abstract
In this Chapter we relate topological and geometric properties of digital objects to their continuous originals by digitization and embedding approaches. A digitization is modeled as a mapping from the real plane or space to a discrete graph structure. Based on technical properties of sampling devices which are the main source of spatial information for artificial systems, the graph structure is usually assumed to form a square grid and is modeled as a finite subset of Z 2 (or Z 3 for computer tomography scanners) with some adjacency relations. For example, digital images obtained by a CCD camera are represented as finite rectangular subsets of Z 2. We characterize a digitization as a function that maps subset of the real plane to discrete objects represented in a graph structure. Our starting point is a digitization and segmentation scheme defined in Pavlidis [120] and in Gross and Latecki [55], in which the sensor value depends on the area of the object in the square at which the sensor is centered.
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© 1998 Springer Science+Business Media Dordrecht
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Latecki, L.J. (1998). Digitization Approach. In: Discrete Representation of Spatial Objects in Computer Vision. Computational Imaging and Vision, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9002-0_7
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DOI: https://doi.org/10.1007/978-94-015-9002-0_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4982-7
Online ISBN: 978-94-015-9002-0
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