DocumentCode :
1371152
Title :
A new region expansion for quadtrees
Author :
Ang, Chuan-Heng ; Samet, Hanan ; Shaffer, Clifford A.
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Volume :
12
Issue :
7
fYear :
1990
fDate :
7/1/1990 12:00:00 AM
Firstpage :
682
Lastpage :
686
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
Keywords :
pattern recognition; picture processing; trees (mathematics); black mode; black nodes; merging cluster; one-pass algorithm; pattern recognition; quadtrees; region expansion; vertex set; white pixels; Calculus; Clustering algorithms; Computer graphics; Computer science; Design automation; Digital images; Finite element methods; Merging; Numerical analysis; Pixel; Testing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.56221
Filename :
56221
Link To Document :
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