• DocumentCode
    294832
  • Title

    SVEX: a knowledge-based tool for image segmentation

  • Author

    Hernandez-Sosa, Daniel ; Cabrera-Gamez, J. ; Hernandez-Tejera, M.

  • Author_Institution
    Dept. de Inf. y Sistemas, Univ. de Las Palmas de Gran Canaria, Las Palmas
  • Volume
    4
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2555
  • Abstract
    SVEX is a multilevel knowledge-based tool for developing applications in image segmentation. Both numerical and symbolic computations take place at each level, being the transition between these two domains defined by the computational structure itself. SVEX incorporates evidence combination and uncertainty control mechanisms. SVEX is programmed by means of a specific purpose declarative language based on a reduced set of objects. All the knowledge involved in the solution of a given segmentation problem is made explicit due to the declarative nature of the programming language. The results obtained by the application of SVEX in the segmentation of a set of outdoor images set are also shown
  • Keywords
    case-based reasoning; image segmentation; knowledge based systems; logic programming; programming languages; software tools; symbol manipulation; uncertainty handling; SVEX; computational structure; evidence combination; image segmentation; multilevel knowledge-based tool; numerical computations; outdoor images; programming language; reduced objects set; specific purpose declarative language; symbolic computations; uncertainty control mechanisms; Actuators; Cameras; Computer languages; Decoding; Image processing; Image segmentation; Image sensors; Pixel; Process planning; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.480070
  • Filename
    480070