• DocumentCode
    2162043
  • Title

    Counting objects in an image by marker controlled watershed segmentation and thresholding

  • Author

    Rahman, Md Saifur ; Islam, Md Rafiqul

  • Author_Institution
    Dept. of Comput. Sci., American Int. Univ. - Bangladesh, Dhaka, Bangladesh
  • fYear
    2013
  • fDate
    22-23 Feb. 2013
  • Firstpage
    1251
  • Lastpage
    1256
  • Abstract
    Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles which help counting approximate total number of particles. Watershed segmentation technique is considered to be most efficient technique to solve problems of segregation contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with thresholding technique can give wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.
  • Keywords
    image segmentation; image processing; marker controlled watershed segmentation; object counting; object segregation; thresholding technique; Conferences; Image reconstruction; Image segmentation; Noise; Surface topography; Transforms; Marker controlled watershed segmentation; count; image processing; separation; thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2013 IEEE 3rd International
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4673-4527-9
  • Type

    conf

  • DOI
    10.1109/IAdCC.2013.6514407
  • Filename
    6514407