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 back-bone 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.
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References
Tombre, K.: Analysis of Engineering Drawings: State of the Art and Challenges. In: Chhabra, A.K., Tombre, K. (eds.) GREC 1997. LNCS, vol. 1389, pp. 257–264. Springer, Heidelberg (1998)
Ah-Soon, C.: Symbol Detection in Architectural Drawings. In: Chhabra, A.K., Tombre, K. (eds.) GREC 1997. LNCS, vol. 1389, pp. 280–286. Springer, Heidelberg (1997)
Ah-Soon, C., Tombre, K.: Variations on the Analysis of Architectural Drawings. In: ICDAR 1997, pp. 347–351 (1997)
Tombre, K., Ah-Soon, C., Dosch, P., Habed, A., Masini, G.: Stable, Robust and Off-the-Shelf Methods for Graphics Recognition. In: ICPR, vol. 1, pp. 406–408 (1998)
Ah-Soon, C., Tombre, K.: Network-Based Recognition of Architectural Symbols. In: Amin, A., Pudil, P., Dori, D. (eds.) SPR 1998 and SSPR 1998. LNCS, vol. 1451, pp. 252–261. Springer, Heidelberg (1998)
Trier, D., Taxt, T.: Improvement of “Integrated Functioin Algorithm: for Binarization of Document Image. Pattern Recognition Letters 16, 277–283 (1995)
White, J.M., Rohrer, G.D.: Image thresholding for optical character recognition and other applications requiring character image extraction. IBM Journal of Research and Development 27(4), 400–411 (1983)
Chhabra, A.K., Misra, V., Arias, J.: Detection of Horizontal Lines in Noisy Run Length Encoded Images: The FST Method. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 35–48. Springer, Heidelberg (1996)
Röösli, M., Monagan, G.: Adding Geometric Constraints to the Vectorization of Line Drawings. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 49–56. Springer, Heidelberg (1996)
Quantitative Measurement of the Performance of Raster-to-Vector Conversion Algorithms. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 57–68. Springer, Heidelberg (1996)
Turolla, E., Belaïd, Y., Belaïd, A.: Form Item Extraction Based on Line Searching. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 69–79. Springer, Heidelberg (1996)
Agam, G., Luo, H., Dinstein, I.: Morphological Approach for Dashed Lines Detection. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 92–105. Springer, Heidelberg (1996)
Dori, D., Wenyin, L., Peleg, M.: How to Win a Dashed Line Detection Contest. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 186–300. Springer, Heidelberg (1996)
Messmer, B.T., Bunke, H.: Automatic Learning and Recognition of Graphical Symbols in Engineering Drawings. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 123–134. Springer, Heidelberg (1996)
Cesarini, F., Gori, M., Marinai, S., Soda, G.: A Hybrid Systems for Locating and Recognizing Low Level Graphic Items. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 135–147. Springer, Heidelberg (1996)
Bässmann, H., Besslich, P.W.: Ad Oculos Digital Image Processing, Professional Version 2.0, ITP (1995)
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Park, J., Kwon, YB. (2004). Main Wall Recognition of Architectural Drawings Using Dimension Extension Line. In: Lladós, J., Kwon, YB. (eds) Graphics Recognition. Recent Advances and Perspectives. GREC 2003. Lecture Notes in Computer Science, vol 3088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25977-0_11
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DOI: https://doi.org/10.1007/978-3-540-25977-0_11
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