Parallel Attribute Computation for Distributed Component Forests

Component trees are powerful image processing tools to analyze the connected components of an image. One attractive strategy consists in building the nested relations at first and then deriving the components' attributes afterward, such that the user can switch between different attribute funct...

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Veröffentlicht in:	Proceedings - International Conference on Image Processing S. 601 - 605
Hauptverfasser:	Gazagnes, Simon, Wilkinson, Michael H.F.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.10.2022
Schlagworte:	Buildings Component trees Connected filters Data visualization Filtering Forestry Image processing Image representation Mathematical morphology Parallel computing Switches Three-dimensional displays
ISSN:	2381-8549
Online-Zugang:	Volltext
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