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Analysis of Technical Documents: The REDRAW System

  • Chapter
Structured Document Image Analysis

Abstract

The automated analysis of technical documents is a problem which has been worked on for several years [19, 37, 16, 18], in many kinds of applications, including flow charts [1], mechanical engineering [8, 23], city maps (plats) [17, 27, 31], electrical circuitry [22, 13], hand-drawn figures [30] and geographical maps [38].

This work was partially financed by a “Contrat de stimulation” from INPL (Institut National Polytechnique de Lorraine).

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References

  1. K. Abe, Y. Azumatani, M. Mukouda, and S. Suzuki, “Discrimination of Symbols, Lines, and Characters in Flowchart Recognition,” Proc. 8th ICPR, pp. 1071–1074, Paris, 1986.

    Google Scholar 

  2. D. Antoine, “A Technical Document Understanding System Based on a priori Knowledge,” Proc. 6th Scandinavian Conf. on Image Analysis, pp. 843–846, Oulu, Finland, 1989.

    Google Scholar 

  3. D. Antoine, “Interpretation des parties graphiques dans un document technique,” Rapport de DEA, Centre de Recherche en Informatique de Nancy, Vandœuvrelès-Nancy, 1987.

    Google Scholar 

  4. H. S. Baird, “Global-to-Local Analysis,” In R. Mohr, T. Pavlidis, and A. Sanfeliu (eds.), Structural Pattern Analysis, pp. 181–196, World Scientific, Singapore, 1990.

    Google Scholar 

  5. G. Bauer, “Following Lines in Vector Data Using Smoothness or Straightness Criteria and Applications,” Proc. International Seminar on Symbol Recognition, pp. 9–15, Oslo, 1985.

    Google Scholar 

  6. D. Benjamin, O. Forgues, E. Gulko, J. B. Massicotte, and C. Meubus, “The Use of High-Level Knowledge for Enhanced Entry of Engineering Drawings,” Proc. 9th ICPR, pp. 119–124, Rome, 1988.

    Google Scholar 

  7. O. Bergengruen, “Generating and Manipulating Solid Models from Images,” Proc. 6th Scandinavian Conf. on Image Analysis, pp. 660–667, Oulu, Finland, 1989.

    Google Scholar 

  8. V. Cappellini, F. Flamigni, and A. Mecocci, “A System for Automatic Drafting Encoding,” Proc. IAPR Workshop on Computer Vision, pp. 173–178, Tokyo, 1988.

    Google Scholar 

  9. S. Collin and K. Tombre, “Image Segmentation Using Connected Components for Document Analysis,” Proc. IFACS/IMACS/IFORS International Symp. on Advanced Information Processing in Automatic Control, pp. 166–170, Nancy, France, 1989.

    Google Scholar 

  10. U. Cugini, G. Ferri, P. Mussio, and M. Protti, “Pattern-directed Restoration and Vectorization of Digitized Engineering Drawings,” Computers and Graphics, 8 (4): 337–350, 1984.

    Article  Google Scholar 

  11. D. Dori, “A Syntactic/Geometric Approach to Recognition of Dimensions in Engineering Drawings,” Computer Vision, Graphics and Image Processing, 47: 271–291, 1989.

    Article  Google Scholar 

  12. D. Dori and A. Pnueli, “The Grammar of Dimensions in Machine Drawings,” Computer Vision, Graphics and Image Processing, 42: 1–18, 1988.

    Article  Google Scholar 

  13. C. S. Fahn, J. F. Wang, and J. Y. Lee, “A Topology-Based Component Extractor for Understanding Electronic Circuit Diagrams,” Computer Vision, Graphics and Image Processing, 44: 119–138, 1988.

    Article  Google Scholar 

  14. L. A. Fletcher and R. Kasturi, “A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images,” IEEE Trans, on PAMI, 10 (6): 910–918, 1988.

    Article  Google Scholar 

  15. R. H. Haralick and D. Queeney, “Understanding Engineering Drawings,” Computer Graphics and Image Processing, 20: 244–258, 1982.

    Article  Google Scholar 

  16. J. Hofer-Alfeis and G. Maderlechner, “Automated Conversion of Mechanical Engineering Drawings to CAD Models: Too Many Problems?,” Proc. IAPR Workshop on Computer Vision, pp. 206–209, Tokyo, 1988.

    Google Scholar 

  17. T. Hoshino and S. Suzuki, “Automatic Input Method For Large-Scale Maps,” Proc. 8th ICPR, pp. 449–453, Paris, 1986.

    Google Scholar 

  18. S. H. Joseph, T. P. Pridmore, and M. E. Dunn, “Towards the Automatic Interpretation of Mechanical Engineering Drawings,” In A. Barrett (ed.), Computer Vision and Image Processing, Kogan Page, 1989.

    Google Scholar 

  19. M. Karima, K. S. Sadhal, and T. O. McNeil, “From Paper Drawings to Computer-Aided Design,” IEEE Computer Graphics and Applications, 5 (2): 27–39, 1985.

    Article  Google Scholar 

  20. P. Kuner, “Efficient Techniques to Solve the Subgraph Isomorphism Problem for Pattern Recognition in Line Images,” Proc. 4th Scandinavian Conf. on Image Analysis, pp. 333–340, Trondheim, Norway, 1985.

    Google Scholar 

  21. R. Lequette, “Construction automatique de solides à partir de vues orthogonales de type dessin industriel,” Doctoral Thesis, Univ. Grenoble, 1987.

    Google Scholar 

  22. X. Lin, S. Shimotsuji, M. Minoh, and T. Sakai, “Efficient Diagram Understanding with Characteristic Pattern Detection,” Computer Vision, Graphics and Image Processing, 30: 84–106, 1985.

    Article  Google Scholar 

  23. W. Lu, Y. Ohsawa, and M. Sakauchi, “A Database Capture System for Mechanical Drawings Using an Efficient Multi-dimensional Graphical Data Structure,” Proc. 9th ICPR, pp. 266–269, Rome, 1988.

    Google Scholar 

  24. G. Masini and K. Tombre, “Discrete Relaxation Applied to Interpretation of Technical Documents,” Proc. 10th ICPR, pp. 706–708, Atlantic City, NJ, 1990.

    Google Scholar 

  25. T. Matsuyama, H. Arita, and N. Nagao, “Structural Matching of Line Drawings Using the Geometrical Relationship between Line Segments,” Computer Vision, Graphics and Image Processing, 27: 177–194, 1984.

    Article  Google Scholar 

  26. E. Meynieux, W. Posti, S. Seisen, and K. Tombre, “Office paper document analysis,” In G. Bracchi and D. Tsichritzis, editors, Office Systems: Methods and Tools, pp. 267–285, North-Holland, Pisa, 1987.

    Google Scholar 

  27. T. Nagao, T. Agui, and M. Nakajima, “An Automatic Road Vector Extraction Method from Maps,” Proc. 9th ICPR, pp. 585–587, Rome, 1988.

    Google Scholar 

  28. J. W. Roach and J. E. Tatem, “Using Domain Knowledge in Low-level Visual Processing to Interpret Handwritten Music: An Experiment,” Pattern Recognition, 21 (l): 33–44, 1988.

    Article  Google Scholar 

  29. C. C. Shih and R. Kasturi, “Extraction of Graphical Primitives from Images of Paper Based Line Drawings,” Machine Vision and Applications, 2: 103–113, 1989.

    Article  Google Scholar 

  30. S. Shimotsuji, A. Okazaki, O. Hori, and S. Tsunekawa, “A High Speed Raster-to-Vector Conversion Using Special Hardware for Contour Tracking,” Proc. IAPR Workshop on Computer Vision, pp. 18–23, Tokyo, 1988.

    Google Scholar 

  31. S. Suzuki and T. Yamada, “MARIS: Map Recognition Input System,” Proc. IAPR Workshop on Computer Vision, pp. 421–426, Tokyo, 1988.

    Google Scholar 

  32. K. Tombre, “Finding and Coding Graphics in a Composite Document,” Proc. 5th Scandinavian Conf. on Image Analysis, pp. 589–596, Stockholm, 1987.

    Google Scholar 

  33. K. Tombre, “La saisie automatisée de documents composites: reconnaissance, codage et interpretation des parties graphiques,” Doctoral Thesis, INPL, Centre de Recherche en Informatique de Nancy, Vandœuvre-lès-Nancy, 1987.

    Google Scholar 

  34. K. Tombre and D. Antoine, “Analysis of technical documents using a priori Knowledge,” In R. Möhr, T. Pavlidis, and A. Sanfeliu, editors, Structural Pattern Analysis, pp. 229–241, World Scientific, Singapore, 1990.

    Google Scholar 

  35. J. R. Ullmann, “An Algorithm for Subgraph Isomorphism,” J. of the ACM, 23 (l): 31–42, 1976.

    Article  MathSciNet  Google Scholar 

  36. K. Wall and P. Danielsson, “A Fast Sequential Method for Polygonal Approximation of Digitized Curves,” Computer Vision, Graphics and Image Processing, 28: 220–227, 1984.

    Article  Google Scholar 

  37. L. S. Wolfe and J. de Wyze, “An Update on Drawing Conversion,” Computer Aided Design Report, 8 (6): 1–11, 1988.

    Google Scholar 

  38. J. Ylä-Jääski and H. Ahonen, “Knowledge-based Analysis of Line Drawings,” Proc. 6th Scandinavian Conf. on Image Analysis, pp. 774–777, Oulu, Finland, 1989.

    Google Scholar 

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© 1992 Springer-Verlag Berlin Heidelberg

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Antoine, D., Collin, S., Tombre, K. (1992). Analysis of Technical Documents: The REDRAW System. In: Baird, H.S., Bunke, H., Yamamoto, K. (eds) Structured Document Image Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77281-8_18

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  • DOI: https://doi.org/10.1007/978-3-642-77281-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77283-2

  • Online ISBN: 978-3-642-77281-8

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