• DocumentCode
    3439367
  • Title

    Efficient edge extraction of images by directional tracing

  • Author

    Iyengar, S. Sitharana ; Wu, Yuyan ; Min, Hla

  • Author_Institution
    Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    1996
  • fDate
    19-22 Dec 1996
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    The ability to recognize edges of an object fast and accurately is a fundamental goal in computer vision and image processing. The facility is important in automatic manufacturing environment in industry. This paper defines and investigates an efficient method of edge extraction of image using directional tracing algorithm. Based on the approach of linear feature extraction presented by R. Nevatia and K.R. Babu (1980), our algorithm is developed for the general situation of edge extraction. The technique employs the basic and intuitive principle that an edge pixel should possess local maximal gradient but no more domain information or knowledge is required. An effective and robust tracing strategy is proposed. Our algorithm has been tested on different kinds of images, and the results are satisfactory
  • Keywords
    computer vision; edge detection; image segmentation; computer vision; directional tracing; edge detection; edge extraction; edge pixel; image processing; image segmentation; low level vision processing; Data mining; Detectors; Image edge detection; Image processing; Image segmentation; Pixel; Robot vision systems; Robotics and automation; Robustness; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, 1996. Proceedings. 3rd International Conference on
  • Conference_Location
    Trivandrum
  • Print_ISBN
    0-8186-7557-8
  • Type

    conf

  • DOI
    10.1109/HIPC.1996.565828
  • Filename
    565828