Abstract
Based on the S-tree, the modified S-tree is a newly proposed spatial data structure for representing digital binary images, which can support fast search and query in pictorial database. In this paper, we first present a new spatial data structure called the compact S-tree to represent binary images, which uses less memory when compared to the modified S-tree. We then present a fast search algorithm on the compact S-tree. Further, the application to neighbor finding is also investigated. Experimental results show that the proposed search algorithm is faster than the previous known results on the S-tree and the modified S-tree.
Original language | English |
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Pages (from-to) | 1427-1434 |
Number of pages | 8 |
Journal | Pattern Recognition Letters |
Volume | 18 |
Issue number | 14 |
DOIs | |
Publication status | Published - 1997 Dec |
Keywords
- Compact S-trees
- Image algorithms
- Neighbor finding
- Search
- Spatial data structures
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence