1 November 1991 Object-oriented representation of image space by puzzletrees
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas R. Dengel, Andreas R. Dengel, } "Object-oriented representation of image space by puzzletrees", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50384; https://doi.org/10.1117/12.50384
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