• DocumentCode
    2280389
  • Title

    A way to enhance the extraction mechanism of 2D objects from robots memory using an orthogonal algorithm

  • Author

    Sirajudeen, M. Mohamed ; Peeran, M. Mudassir ; Senthil Kumar, M.

  • Author_Institution
    Dept. of Comput. Applic., K.L.N Coll. of Inf. Technol., Pottalpalayam, India
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    490
  • Lastpage
    493
  • Abstract
    Object identification is closely related to the mechanism of extracting the exact object from the robots memory location. Generally, a large number of algorithms and techniques are available to perform the object storage classification and the extraction. Each and everyone work its own style to perform the desired operation they were initiated by the external process. In this algorithm, we focus on how to enhance the extraction mechanism for two Dimensional objects or images which are already occupied in the storage. Robots are bind together with human´s life and also take part an inevitable role in all major fields. The way to extraction of the stored 2D objects in the robots memory makes very easy to the object identification process. Orthogonal algorithm having the feature of dividing the storage space into different blocks specifies an address range for the it and store the segment of incoming objects. Methods for the partition of storage location and the storage procedure help to reduce the complexity of the searching mechanism and to find the exact object.
  • Keywords
    memory architecture; object recognition; robot vision; 2D objects; object identification process; object storage classification; orthogonal algorithm; robots memory location; Classification algorithms; Complexity theory; Image segmentation; Memory architecture; Object recognition; Robots; Visualization; 2D objects; extraction; robots and memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing (ICSIP), 2010 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-8595-6
  • Type

    conf

  • DOI
    10.1109/ICSIP.2010.5697524
  • Filename
    5697524