Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Main wall recognition of architectural drawings using dimension extension line

Authors
Park, Jae HwaKwon, Y.B.
Issue Date
Aug-2004
Publisher
SPRINGER-VERLAG BERLIN
Keywords
architectural drawings; recognition; main wall; dimension line
Citation
GRAPHICS RECOGNITION: RECENT ADVANCES AND PERSPECTIVES, v.3088, pp 116 - 127
Pages
12
Journal Title
GRAPHICS RECOGNITION: RECENT ADVANCES AND PERSPECTIVES
Volume
3088
Start Page
116
End Page
127
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53055
DOI
10.1007/978-3-540-25977-0_11
ISSN
0302-9743
1611-3349
Abstract
This paper deals with plain figures on the architectural drawings of apartment. This kind of architectural drawings consist of main walls represented by two parallel bold lines, symbols (door, window, tile...), dimension line, extension line, and dimensions represent various numerical values and characters. This paper suggests a method for recognizing main wall which is a backbone of apartment in an architectural drawing. In this thesis, the following modules are realized: an efficient image binarization, a removal of thin lines, a vectorization of detected lines, a region bounding for main walls, a calculation of extension lines, a finding main walls based on extension line, and a field expansion by searching other main walls which are linked with the detected main walls. Although the windows between main walls are not represented as main walls, a detection module for the windows is considered during the recognition period. So the windows are found as a part of main wall. An experimental result on 9 different architectural drawings shows 96.5% recognition of main walls and windows, which is about 5.8% higher than that of Karl Tombre.
Files in This Item
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Jae Hwa photo

Park, Jae Hwa
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE