• DocumentCode
    1434534
  • Title

    Constrained and Dimensionality-Independent Path Openings

  • Author

    Luengo Hendriks, C.L.

  • Author_Institution
    Centre for Image Anal., Swedish Univ. of Agric. Sci., Uppsala, Sweden
  • Volume
    19
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    1587
  • Lastpage
    1595
  • Abstract
    Path openings and closings are morphological operations with flexible line segments as structuring elements. These line segments have the ability to adapt to local image structures, and can be used to detect lines that are not perfectly straight. They also are a convenient and efficient alternative to straight line segments as structuring elements when the exact orientation of lines in the image is not known. These path operations are defined by an adjacency relation, which typically allows for lines that are approximately horizontal, vertical or diagonal. However, because this definition allows zig-zag lines, diagonal paths can be much shorter than the corresponding horizontal or vertical paths. This undoubtedly causes problems when attempting to use path operations for length measurements. This paper 1) introduces a dimensionality-independent implementation of the path opening and closing algorithm by Appleton and Talbot, 2) proposes a constraint on the path operations to improve their ability to perform length measurements, and 3) shows how to use path openings and closings in a granulometry to obtain the length distribution of elongated structures directly from a gray-value image, without a need for binarizing the image and identifying individual objects.
  • Keywords
    edge detection; mathematical morphology; closing algorithm; dimensionality-independent path openings; granulometry; gray-value image; line detection; line segments; local image structures; mathematical morphology; zig-zag lines; Image color analysis; Image segmentation; Length measurement; Morphological operations; Morphology; Performance evaluation; Pixel; Granulometry; image analysis; length distribution; line segment; mathematical morphology; path closing; path opening; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2010.2044959
  • Filename
    5427095