• DocumentCode
    1698308
  • Title

    Fast Dual-Point Hough Transform for medical object recognition

  • Author

    Bakulina, Alena ; Hlindzich, Dzmitry ; Maenner, Remhard

  • Author_Institution
    Inst. of Comput. Med. (ICM), Univ. of Heidelberg, Mannheim, Germany
  • fYear
    2010
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    In this paper we introduce a new object recognition method for detecting objects of arbitrary shapes based on a combination of the Fast Hough Transform (FHT) and the Dual-Point Generalized Hough Transform (DPGHT). We validate the proposed approach on medical images (cryosection, US, MRI) and describe its basic features. The proposed algorithm is robust, low memory consumptive and utilizes the advantages of the both FHT and DPGHT that makes it a good solution for medical object recognition applications.
  • Keywords
    Hough transforms; medical image processing; object detection; object recognition; dual-point generalized Hough Transform; fast dual-point Hough transform; medical images; medical object recognition method; object detection; Arrays; Biomedical imaging; Educational institutions; Hypercubes; Object recognition; Shape; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
  • Conference_Location
    Perth, WA
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-9167-4
  • Type

    conf

  • DOI
    10.1109/CBMS.2010.6042659
  • Filename
    6042659