• DocumentCode
    626688
  • Title

    HTS: A new shape descriptor based on Hough Transform

  • Author

    Botelho de Souza, Gustavo ; Nilceu Marana, Aparecido

  • Author_Institution
    Dept. of Comput., UNESP - Univ. Estadual Paulista, Bauru, Brazil
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    974
  • Lastpage
    977
  • Abstract
    In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases.
  • Keywords
    Hough transforms; image processing; image retrieval; Hough transform statistics; digital images; image retrieval; linear complexity; shape analysis; Databases; High-temperature superconductors; Histograms; Shape; Standards; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6572011
  • Filename
    6572011
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=626688