• DocumentCode
    3323905
  • Title

    Semi-automatic delineation of regions in floor plans

  • Author

    Ryall, Kathy ; Shieber, Stuart ; Marks, Joe ; Mazer, Murray

  • Author_Institution
    Harvard Univ., Cambridge, MA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    964
  • Abstract
    We propose a technique that uses a proximity metric for delineating partially or fully bounded regions of a scanned bitmap that depicts a building floor plan. A proximity field is defined over the bitmap, which is used both to identify the centers of subjective regions in the image and to assign pixels to regions by proximity. The region boundaries generated by the method tend to match well the subjective boundaries of regions in the image. We discuss incorporation of the technique in a semi-automated interactive system for region identification in floor plans. In contrast to area-filling techniques for delineating areal regions of images, our approach works robustly for partially bounded regions. Furthermore, the frailties of the method that do remain, unlike those of alternative techniques, are well-moderated by simple human intervention
  • Keywords
    computer aided facilities layout; document image processing; engineering graphics; operations research; area-filling techniques; areal regions; building floor plan; partially bounded regions; proximity field; proximity metric; scanned bitmap; semi-automated interactive system; semi-automatic delineation; Computer applications; Filling; Floors; Humans; Interactive systems; Laboratories; Mice; Pervasive computing; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.602062
  • Filename
    602062