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Check Detection and Characterization in Veneer Qualifying with use of Digital Image Analysis

Check Detection and Characterization in Veneer Qualifying with use of Digital Image Analysis. Bartosz PAŁUBICKI , Laurent BLÉRON, Jean-Claude BUTAUD, Rémy MARCHAL. ParisTech Cluny, LaBoMaP Rue Porte de Paris 71250 Cluny, France. IUFRO – All-Division 5 Conference

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Check Detection and Characterization in Veneer Qualifying with use of Digital Image Analysis

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  1. Check Detection and Characterization in Veneer Qualifying with use of Digital Image Analysis Bartosz PAŁUBICKI, Laurent BLÉRON, Jean-Claude BUTAUD, Rémy MARCHAL ParisTech Cluny, LaBoMaP Rue Porte de Paris 71250 Cluny, France IUFRO – All-Division 5 Conference Taipei, Taiwan ‧ Oct. 29 to Nov. 2, 2007

  2. What are the lathe checks?

  3. Contents • Introduction • Hardware setup • Goal • Check detection algorithm details • Sotfware interface • Summary

  4. Introduction

  5. HardwareVision System

  6. Hardware Setup Recomendations • Hard image analysis for wood – different colors, inhomogeneity, light dispersing • Hardware setup very important -> high quality of image, high contrast • Repetability (environmental light independent, stabillzed voltage)

  7. Goal • Succesful check measurement depends on both: • Good quality image (good hardware settings) and • Efficient algorithm for digital image analysis Goal: To provide an efficient algorithm for automatic detection of the lathe checks basing on the veneer image

  8. Check detection algorithm

  9. Region Of Interest - CPU Time Saving 10 20 50

  10. D H Coarse Check Positions

  11. Checks Tracking Option: Very low details Option: Normal details

  12. Check Labeling Option: Very low details Option: Normal details

  13. Check Enumarating

  14. Software Interface

  15. Summary • Effective algorithm for lathe check detection has been presented • Few parameters possible to adjust if necessary • Output: lathe checks intervals and depths

  16. CLUNY Wood Thank You

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