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- W1979452123 abstract "The objective of this paper is to propose a syntactic formalism for space representation. Beside the well known advantages of hierarchical data structure, this underlying approach has the additional strength of self-adapting to a spatial structure at hand. The approach is called puzzletree because its recursive decomposition of an image results in a number of rectangular regions which in a certain order--like a puzzle--reconstruct the original image. The approach may also be applied to higher-dimensioned spaces. This paper concentrates on the principles of puzzletrees by explaining the underlying heuristic for their generation and outlining their use to facilitate higher-level operations like image segmentation or object recognition. Finally, results are shown and a comparison to conventional region quadtrees is done." @default.
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- W1979452123 date "1991-11-01" @default.
- W1979452123 modified "2023-09-23" @default.
- W1979452123 title "Object-oriented representation of image space by puzzletrees" @default.
- W1979452123 doi "https://doi.org/10.1117/12.50384" @default.
- W1979452123 hasPublicationYear "1991" @default.
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