DocumentCode :
1719600
Title :
Linear binary tree
Author :
Chuanbo, Chen ; Haiming, Zou
Author_Institution :
Dept. of Comput. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, Hubei Province, China
fYear :
1988
Firstpage :
576
Abstract :
A method of representing a binary image is developed. This method, called linear binary tree (LBT), is more effective than the linear quadtree (LQT) method. A LBT can be represented by encoding each black node with a binary integer whose digits reflect successive one-half subdivisions. The relation between LBT and LQT is discussed, and the space complexity and time complexity of some algorithms on LBT are compared to those of LQT. Methods for encoding LBT and for finding adjacent nodes for search, union and intersection operations are presented. The paper also shows that the space-efficiency of LBT is superior to that of LQT
Keywords :
encoding; pattern recognition; picture processing; trees (mathematics); binary image; binary integer; black node; encoding; intersection; linear binary tree; picture processing pattern recognition; search; space complexity; time complexity; union; Binary trees; Computer science; Encoding; Graphics; Image coding; Image processing; Image storage; Notice of Violation; Tree data structures; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28296
Filename :
28296
Link To Document :
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