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Titlebook: Discrete Representation of Spatial Objects in Computer Vision; Longin Jan Latecki Book 1998 Springer Science+Business Media Dordrecht 1998

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楼主: Encounter
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Embedding Approach, choice of foreground and of background is critical for the results of the subsequent analysis (like object grouping), especially in cases where it is not clear at the beginning of the analysis what constitutes the foreground and what the background, since this choice immediately determines the connected components of the picture.
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Clinical Examination, Standard X-Raysects 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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Introduction,edge representation is: which properties inferred from discrete representations of real objects correspond to properties of their originals, and under what conditions is this the case? In this book, we present a comprehensive answer to this question with respect to important topological and certain geometrical properties.
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Digitization Approach,ects 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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Sugery of the Male Reproductive Tractterparts in ℝ.. This is possible, since ℝ. with the usual topology and digital images with their usual structure are sp-spaces. Examples of different semi-proximity relations on digital images are given which induce the usual connectedness on digital images. This is not possible in classical topology.
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Grafts and Prostheses for Peyronie’s Diseaseto allow us to formally describe any shape properties of sets in this class and there are curves with very unnatural properties (e.g., plane filling curves). Therefore, some restrictions must be added.
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