DocumentCode
2898062
Title
Researches on Hierarchical Image Retrieval Model Based on Wavelet Descriptor and Indexed by Half-Axes-Angle using R-Tree
Author
Zhang, Hui-Min ; Wang, Qing-hai ; Kan, You-xun ; Liu, Jun-hui ; Gong, Yao-wan
Author_Institution
Inf. Eng. Dept., Acad. of Armored Force Eng., Beijing
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
3755
Lastpage
3759
Abstract
Shape, as one of the intrinsic features of weapons and the other military equipments, becomes the most important key factor of object recognition upon the different techniques of image formation, and the researches on techniques of image retrieval using contour, the important shape feature, have been a focus of attention in the domain of image engineering. The paper proposes a hierarchical image retrieval model based on the wavelet descriptor indexed by half-axes-angle using R-tree, which hierarchically filter the similar templates with the object pattern via the multi-resolution description techniques of the contour, and the experiments prove the efficiency and effectiveness by the vehicle image retrieval
Keywords
database indexing; image resolution; image retrieval; military computing; military equipment; object recognition; tree data structures; wavelet transforms; weapons; R-tree; half-axes-angle; hierarchical image retrieval model; image engineering; image formation; military equipments; multiresolution description techniques; object pattern; object recognition; vehicle image retrieval; wavelet descriptor; weapons; Content based retrieval; Cybernetics; Filtering; Filters; Image retrieval; Information retrieval; Machine learning; Military equipment; Object recognition; Optical imaging; Shape; Weapons; Half-axes-angle; Hierarchical image retrieval; R-tree; Wavelet descriptor;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258640
Filename
4028724
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