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231224s2011 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2011.95
|2 doi
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|a eng
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|a Robins, Vanessa
|e verfasserin
|4 aut
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| 245 |
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|a Theory and Algorithms for Constructing Discrete Morse Complexes from Grayscale Digital Images
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 27.11.2015
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|a Date Revised 10.09.2015
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a We present an algorithm for determining the Morse complex of a two or three-dimensional grayscale digital image. Each cell in the Morse complex corresponds to a topological change in the level sets (i.e., a critical point) of the grayscale image. Since more than one critical point may be associated with a single image voxel, we model digital images by cubical complexes. A new homotopic algorithm is used to construct a discrete Morse function on the cubical complex that agrees with the digital image and has exactly the number and type of critical cells necessary to characterize the topological changes in the level sets. We make use of discrete Morse theory and simple homotopy theory to prove correctness of this algorithm. The resulting Morse complex is considerably simpler than the cubical complex originally used to represent the image and may be used to compute persistent homology
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Wood, Peter John
|e verfasserin
|4 aut
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| 700 |
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|a Sheppard, Adrian P
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 33(2011), 8 vom: 21. Aug., Seite 1646-58
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|x 1939-3539
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|g volume:33
|g year:2011
|g number:8
|g day:21
|g month:08
|g pages:1646-58
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