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
Link To Document :
بازگشت