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FRE 2645 Grec 2003 : 30 July, 2003 Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use Delalandre Mathieu¹, Saidali.

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Presentation on theme: "FRE 2645 Grec 2003 : 30 July, 2003 Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use Delalandre Mathieu¹, Saidali."— Presentation transcript:

1 FRE 2645 Grec 2003 : 30 July, 2003 Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use Delalandre Mathieu¹, Saidali Youssouf¹, Ogier Jean-Marc², Trupin Eric¹ ¹ PSI Laboratory, University of Rouen, 76 821 Mont Saint Aignan, France E-mail: {mathieu.delalandre ; youssouf.saidali ; eric.trupin}@univ-rouen.fr ² L3I Laboratory, University of La Rochelle, 17042 La Rochelle, France E-mail: jmogier@univ-lr.fr

2 Grec 2003 : 30 July, 2003Diapo 2 Plan  Introduction  Image Processing Library  Vectorisation Scenario Construction  XML use in System  Applications  Conclusion

3 Grec 2003 : 30 July, 2003Diapo 3 Plan  Introduction  Image Processing Library  Vectorisation Scenario Construction  XML use in System  Applications  Conclusion

4 Grec 2003 : 30 July, 2003Diapo 4 Introduction  Vectorisation  Purpose:  Applications: Technical document interpretation, Symbol recognition, Chinese handwriting recognition  Vectorisation system:  Two parts : image processing part and system  knowledge use: descriptive “grammar” and strategic “supervision” Vectorisation Graphic data (vector, circle, curve)

5 Grec 2003 : 30 July, 2003Diapo 5 Plan  Introduction  Image Processing Library  Strategic Knowledge Based System  XML use in System  Applications  Conclusion

6 Grec 2003 : 30 July, 2003Diapo 6 Image Processing Library: (1) Pre-Processing  gray level filtering, binarisation, morphology, blob coloring application, noise evaluation

7 Grec 2003 : 30 July, 2003Diapo 7 Image Processing Library: (2) Vectorisation Processing  skeletonisation, contouring, run decomposition, region decomposition, direct vectorisation “sparse pixel”, object simplification, polygonisation, circle and curve fitting, pruning, merging, …  3 levels:  Image: image  image  Boundary: image  structured data  Structured data:structured data  structured data (image ; structured data)  image

8 Grec 2003 : 30 July, 2003Diapo 8 Plan  Introduction  Image Processing Library  Strategic Knowledge Based System  XML use in System  Applications  Conclusion

9 Grec 2003 : 30 July, 2003Diapo 9 Strategic Knowledge Based System  scenario execution and construction with a graphic user interface  scenarios are saved into a base (re-use)  Y. Saidali, S. Adam, J.M. Ogier, E. Trupin, J. Labiche, “Knowledge Representation and Acquisition for Engineering Document Analysis”, Graphics Recognition (GREC), 2003.

10 Grec 2003 : 30 July, 2003Diapo 10 Plan  Introduction  Image Processing Library  Strategic Knowledge Based System  XML use in System  Applications  Conclusion

11 Grec 2003 : 30 July, 2003Diapo 11 XML use in System  Boundary and structured data levels  XML  XML Use:  Graphic representations: SVG  Adaptable result reconstruction: XSLT and XML-QL XML process Final XML result XML file XML file XML file

12 Grec 2003 : 30 July, 2003Diapo 12 Plan  Introduction  Image Processing Library  Strategic Knowledge Based System  XML use in System  Applications  Conclusion

13 Grec 2003 : 30 July, 2003Diapo 13 Plan Applications: Utility Map

14 Grec 2003 : 30 July, 2003Diapo 14 Applications: GREC2003 Contest (1)

15 Grec 2003 : 30 July, 2003Diapo 15 Applications: GREC2003 Contest (2)

16 Grec 2003 : 30 July, 2003Diapo 16 Applications: GREC2003 Contest (3)

17 Grec 2003 : 30 July, 2003Diapo 17 Plan  Introduction  Image Processing Library  Strategic Knowledge Based System  XML use in System  Applications  Conclusion

18 Grec 2003 : 30 July, 2003Diapo 18 Conclusion  Resume:  System based on two parts:  Image Processing part  Pre Processing  Vectorisation Processing  System part based on strategic knowledge use  XML representation of Data  Interests:  Easily Adaptability to new Applications  Searching the better recognition strategy  Perspective:  Complete recognition tests


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