• DocumentCode
    3486427
  • Title

    Edge detection and segmentation for machine vision

  • Author

    Chittooru, Jaswanth ; Munasinghe, Ranjith ; Davari, Asad

  • Author_Institution
    Dept. of Electr. Eng., West Virginia Univ. Inst. of Technol., Montgomery, WV, USA
  • fYear
    2005
  • fDate
    20-22 March 2005
  • Firstpage
    457
  • Lastpage
    461
  • Abstract
    In this paper, we present a novel method called coloring technique for image segmentation. Coloring technique uses the edges detected by the Sobel operator and in many cases successfully identifies the object boundary. This method can be used to eliminate unimportant edges in the background created by clutter and noise while preserving the edges inside the object boundary. The results show that the new method yields superior segmentations compared to conventional segmentation methods.
  • Keywords
    computer vision; edge detection; image colour analysis; image segmentation; Sobel operator; coloring technique; edge detection; image segmentation; machine vision; object boundary; Background noise; Data mining; Digital images; Feature extraction; Histograms; Image edge detection; Image segmentation; Machine vision; Object detection; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-8808-9
  • Type

    conf

  • DOI
    10.1109/SSST.2005.1460957
  • Filename
    1460957