Please use this identifier to cite or link to this item: https://doi.org/10.1109/34.56221
Title: New region expansion for quadtrees
Authors: Ang, Chuan-Heng 
Samet, Hanan
Shaffer, Clifford A.
Issue Date: Jul-1990
Citation: Ang, Chuan-Heng, Samet, Hanan, Shaffer, Clifford A. (1990-07). New region expansion for quadtrees. IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (7) : 682-686. ScholarBank@NUS Repository. https://doi.org/10.1109/34.56221
Abstract: A one-pass algorithm that performs region expansion in images represented by quadtrees is presented. The algorithm changes to black those white pixels within a specified distance of any black mode in the image. The algorithm yields a significant improvement over previous approaches by reducing both the number of black nodes that must be considered for expansion and the number of nodes that must be inserted as a result of the expansion. The reductions are achieved by introducing the concepts of a merging cluster and a vertex set. Empirical tests show that the execution time of this algorithm generally decreases as the radius of expansion increases, whereas in previous approaches the execution time generally increased with the radius of expansion.
Source Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/99348
ISSN: 01628828
DOI: 10.1109/34.56221
Appears in Collections:Staff Publications

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