Abstract
Image classification is a very challenging problem due to lack of effective representations. In this paper, a region-based binary tree representation incorporating with adaptive processing of data structures is proposed to address this problem. After an image is segmented, a binary tree is established to characterize its contents by using region merging method. Finally, an adaptive processing of data structure algorithm is employed to perform the classification task with binary tree representation. Experimental results on seven categories of scenery images show this region-based structural representation is superior to our previous work based on quadtree representation.
Original language | English |
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Title of host publication | Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
Pages | 232-235 |
Number of pages | 4 |
Volume | 1 |
DOIs | |
Publication status | Published - 1 Dec 2003 |
Event | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003 |
Conference
Conference | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
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Country/Territory | China |
City | Nanjing |
Period | 14/12/03 → 17/12/03 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications