• DocumentCode
    1719600
  • Title

    Linear binary tree

  • Author

    Chuanbo, Chen ; Haiming, Zou

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, Hubei Province, China
  • fYear
    1988
  • Firstpage
    576
  • Abstract
    A method of representing a binary image is developed. This method, called linear binary tree (LBT), is more effective than the linear quadtree (LQT) method. A LBT can be represented by encoding each black node with a binary integer whose digits reflect successive one-half subdivisions. The relation between LBT and LQT is discussed, and the space complexity and time complexity of some algorithms on LBT are compared to those of LQT. Methods for encoding LBT and for finding adjacent nodes for search, union and intersection operations are presented. The paper also shows that the space-efficiency of LBT is superior to that of LQT
  • Keywords
    encoding; pattern recognition; picture processing; trees (mathematics); binary image; binary integer; black node; encoding; intersection; linear binary tree; picture processing pattern recognition; search; space complexity; time complexity; union; Binary trees; Computer science; Encoding; Graphics; Image coding; Image processing; Image storage; Notice of Violation; Tree data structures; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28296
  • Filename
    28296