• DocumentCode
    3379248
  • Title

    A new edge detection method based on contrast enhancement

  • Author

    LI, Zhijie ; Liu, Yongkui ; Yun, Jian ; Huang, Feixue

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Dalian Nat. Univ., Dalian, China
  • fYear
    2009
  • fDate
    13-14 Dec. 2009
  • Firstpage
    164
  • Lastpage
    167
  • Abstract
    A new edge detection method (CEED (Contrast Enhancement Edge Detection)) using neighborhood contrast is proposed in this paper, which does not utilize template operator. The edge detection frame for contrast enhancement is established and the corresponding algorithm is given. After defining the contrast evaluation function and edge structure candidate set, the contrast matrix of original image is produced, where each element value measures the degree of belonging to edge. Experimental results show that the CEED method is efficient, especially for irregular edge detection.
  • Keywords
    edge detection; image enhancement; CEED method; contrast enhancement; contrast evaluation function; contrast matrix; edge detection; edge structure candidate set; Biomedical engineering; Biomedical measurements; Change detection algorithms; Computer science; Electronic mail; Image edge detection; Image segmentation; Laplace equations; Machine vision; Pattern recognition; Contrast; Edge detection; Non-maximum suppression; Smooth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4690-2
  • Electronic_ISBN
    978-1-4244-4692-6
  • Type

    conf

  • DOI
    10.1109/FBIE.2009.5405865
  • Filename
    5405865