1 / 16

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

jonny
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related