• DocumentCode
    1744754
  • Title

    An image segmentation method with multi-resolution mechanism

  • Author

    Miyanaga, Yoshikazu ; Sato, Atara ; HeeBurm, Ryu

  • Author_Institution
    Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    2
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    29
  • Abstract
    This report proposes a new image segmentation method with a multi-resolution mechanism. In this method, high accuracy on image edge extraction and image texture evaluation is realized. The proposed method employs edge extraction based on the average values of intensities in a small image part and also the texture evaluation based on the co-occurrence probability of a local image area. In this report, some experimental results show the high accuracy of estimation on image boundaries
  • Keywords
    edge detection; image resolution; image segmentation; image texture; probability; co-occurrence probability; image boundaries; image edge extraction; image segmentation method; image texture evaluation; intensity average values; local image are; multi-resolution mechanism; texture evaluation; Artificial intelligence; Counting circuits; Image coding; Image communication; Image edge detection; Image recognition; Image segmentation; Image texture; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.920998
  • Filename
    920998