RESEARCHES ON HIERARCHICAL IMAGE RETRIEVAL MODEL BASED ON WAVELET DESCRIPTOR AND INDEXED BY HALF-AXES-ANGLE USING R-TREE

摘要：

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.

关键词： Half-axes-angle R-tree Wavelet descriptor Hierarchical image retrieval

作者: HUI-MIN ZHANG QING-HAI WANG YOU-XUN KAN JUN-HUI LIU YAO-WAN GONG

作者单位: Information Engineering Department, Academy of Armored Force Engineering, Beijing, 100072 Electronic Countermeasure Department, Airforce Radar Academy, Wuhan, 430010

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3755-3759

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）