• DocumentCode
    1394296
  • Title

    Shape recognition using DRFT-based correlator

  • Author

    Hu, Neng-Chung ; Yu, Kuo-Kan

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    34
  • Issue
    11
  • fYear
    1998
  • fDate
    5/28/1998 12:00:00 AM
  • Firstpage
    1093
  • Lastpage
    1094
  • Abstract
    The proposed approach uses two types of correlator. The first is a correlator using DFT to detect the positions of peak values, while the second is a correlator using the discrete rotational Fourier transform (DRFT) to display the correlated images. The purpose of this scheme is to recognise multiple different targets simultaneously
  • Keywords
    correlators; discrete Fourier transforms; image recognition; object recognition; DFT; DRFT-based correlator; correlated images; discrete rotational Fourier transform; multiple different targets; shape recognition; target recognition;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19980738
  • Filename
    684526
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1394296