• DocumentCode
    2900193
  • Title

    New method to count objects into an image

  • Author

    Sossa, Humberto ; Guzmán, Giovanni

  • Author_Institution
    Centro de Investigacion en Comput-IPN, Mexico City, Mexico
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    470
  • Abstract
    A new method to count the number of objects in an image via the skeleton of the image is presented. The technique can be applied to the case of convex or nonconvex elongated or nonelongated objects with a smooth contour without holes, different length, but similar thickness, and in the presence of occlusions. The number of objects or blobs in an image can be obtained as a function of two quantities: the number of terminal points (points with just one neighbor) and the number of three-edge-points (points with just three neighbors) in the skeleton of the image. The technique has been tested with a collection of one hundred syntactically generated images. In practically all cases, the technique has successfully given the desired result. Failures in the method are due to noise in the contour of the object
  • Keywords
    image recognition; convex objects; elongated objects; image skeleton; nonconvex objects; nonelongated objects; object counting; occlusions; smooth contour; terminal points; three-edge-points; Extraterrestrial measurements; Image databases; Image generation; Pathology; Pixel; Skeleton; Tellurium; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905378
  • Filename
    905378