• DocumentCode
    135024
  • Title

    Morphologically contour extraction of decisive objects from image

  • Author

    Mitra, Abhijit ; Roy, Sandip ; Setua, S.K.

  • fYear
    2014
  • fDate
    1-2 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An image is the collection of some focused and non focused objects. Focused objects are treated as decisive objects of an image which helps a user in decision making. The objects in an image are the geometric shapes needed to be identified. Geometric shape of an image depends on the outer edges which are known as contour of that image. The proposed method extracts the contour of decisive objects from an image. Morphological operators empower the proposed method to achieve the goal. The proposal compared with several traditional edges detection techniques with respect to desired output and computation time to ensure its efficiency.
  • Keywords
    decision making; edge detection; object detection; decision making; decisive objects; edges detection techniques; geometric shapes; image contour; morphological operators; morphologically contour extraction; nonfocused object; Detection algorithms; Feature extraction; Image edge detection; Image segmentation; Morphological operations; Morphology; Object recognition; Dilation; Erosion; contour; decisive object; decompose; edge detection; focused object; hit or miss transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
  • Conference_Location
    Hooghy
  • Print_ISBN
    978-1-4799-3893-3
  • Type

    conf

  • DOI
    10.1109/ACES.2014.6808015
  • Filename
    6808015