• DocumentCode
    1214769
  • Title

    Bidirectional labeling and registration scheme for grayscale image segmentation

  • Author

    Ma, Lei ; Zhang, Xiao-Ping ; Si, Jennie ; Abousleman, Glen P.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    14
  • Issue
    12
  • fYear
    2005
  • Firstpage
    2073
  • Lastpage
    2081
  • Abstract
    In this paper, we introduce a new image segmentation scheme that is based on bidirectional labeling and registration and prove that its segmentation performance is equivalent to that of the conventional watershed segmentation algorithm. The proposed bidirectional labeling and registration scheme, which we refer to as bidirectional labeling and registration scheme (BIDS), involves only linear scans of image pixels. It uses one-dimensional operations rather than the queues that are used in traditional segmentation algorithms, which are two-dimensional problems. BIDS also provides unique labels for individual homogeneous regions. In addition to achieving the same segmentation results, BIDS is four times less computationally complex than the conventional watershed by immersion technique.
  • Keywords
    computational complexity; image colour analysis; image registration; image resolution; image segmentation; bidirectional labeling and registration scheme; grayscale image segmentation; image pixels; watershed segmentation algorithm; Computational complexity; Digital images; Geography; Gravity; Gray-scale; Helium; Image segmentation; Labeling; Pixel; Two dimensional displays; Bidirectional labeling; catchment basin; gradient map; image segmentation; region merge; region registration; watershed; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2005.857277
  • Filename
    1532307