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Mathieu Delalandre, Pierre Héroux, Sébastien Adam, Eric Trupin,

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Presentation on theme: "Mathieu Delalandre, Pierre Héroux, Sébastien Adam, Eric Trupin,"— Presentation transcript:

1 A statistical and structural approach for symbol recognition, using XML modelling
Mathieu Delalandre, Pierre Héroux, Sébastien Adam, Eric Trupin, Jean-Marc Ogier UFR Sciences et techniques université de Rouen Mont Saint Aignan

2 XML modelling of recognition results
Introduction Description : System using a statistical and structural approach for technical symbol recognition with XML modelling of recognition results Utility map extract XML modelling of recognition results

3 Recognition processing
Treatment steps Loop extraction (1) Blob coloring filtering (2) Feature extraction (3) Statistical classification (4) XML modelling of recognition results Image processing Model reconstruction (5) Recognition processing Structural classification XML Modelling (6)

4 (1) Loop extraction

5 (2) Blob coloring filtering

6 (3)&(4) Feature extraction & Statistical classification
*Fourrier-Mellin invariants *Zernike moments *Circular probes (5)Statistical classifier kppv

7 (5)&(6) Model reconstruction & Structural classification
Connection and/or distance contraints (6)Structural classifcation Similarity criterion based on common sub-graph

8 Results Statistical results Structural results
50 loops for training and test set 99% of loop recognition Structural results 9 plan extracts, ~100 loops, ~30 symbols Without noise on statistical classification 100% of loop recognition gives 100% of symbol recognition With noise on statistical classification 55.4% of loop recognition gives 86.86% of symbol recognition

9 Perspectives (1) Exploiting sub-graph isomorphism

10 Perspectives (2) Exploiting structural models

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