• 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