Proceedings of 3rd International Conference on Document Analysis and Recognition (1995)
Aug. 14, 1995 to Aug. 15, 1995
K. Ryall , Harvard Univ., Cambridge, MA, USA
S. Shieber , Harvard Univ., Cambridge, MA, USA
J. Marks , Harvard Univ., Cambridge, MA, USA
M. Mazer , Harvard Univ., Cambridge, MA, USA
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.
operations research; computer aided facilities layout; engineering graphics; document image processing; semi-automatic delineation; proximity field; proximity metric; scanned bitmap; building floor plan; semi-automated interactive system; area-filling techniques; areal regions; partially bounded regions
J. Marks, S. Shieber, K. Ryall and M. Mazer, "Semi-automatic delineation of regions in floor plans," Proceedings of 3rd International Conference on Document Analysis and Recognition(ICDAR), Montr?al, Canada, 1995, pp. 964.