Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75294
Title: Leaf image retrieval with shape features
Authors: Wang, Z 
Chi, Z 
Feng, D 
Wang, Q 
Keywords: Centroid-contour distance
Shape representation
Content-based
Image retrieval
Leaf image processing
Issue Date: 2000
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2000, v. 1929 LNCS, no. , p. 477-487 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In this paper we present an eficient two-step approach of using a shape characterization function called centroid-contour distance curve and the object eccentricity (or elongation) for leaf image retrieval. Both the centroid-contour distance curve and the eccentricity of a leaf image are scale, rotation, and translation invariant after proper normalizations. In the frist step, the eccentricity is used to rank leaf images, and the top scored images are further ranked using the centroid-contour distance curve together with the eccentricity in the second step. A thinningbased method is used to locate start point(s) for reducing the matching time. Experimental results show that our approach can achieve good performance with a reasonable computational complexity.
Description: International Conference on Advances in Visual Information Systems, VISUAL 2000, Lyon, France, 2-4 November 2000
URI: http://hdl.handle.net/10397/75294
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/3-540-40053-2_42
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