Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/54877
Title: Adaptive processing of tree-structure image representation
Authors: Wang, Z
Chi, Z 
Feng, D
Cho, SY
Issue Date: 2001
Publisher: Springer
Source: In HY Shum, M Liao & SF Chang (Eds.), Advances in multimedia information processing-PCM 2001 : second IEEE Pacific Rim Conference on Multimedia, Beijing, China, October 24-26, 2001 : proceedings, p. 989-995. Berlin ; New York: Springer, 2001 How to cite?
Series/Report no.: Lecture notes in computer science ; v. 2195
Abstract: Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.
URI: http://hdl.handle.net/10397/54877
ISBN: 978-3-540-42680-6
978-3-540-45453-3
DOI: 10.1007/3-540-45453-5_133
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