3D INSPECTION SYSTEM IN CERAMIC TILES SURFACES WITH RANGE IMAGES

G. Pabón Rodríguez, G. Andreu-García, A. Rodas-Jordá, J. Valiente-González, F. Acebrón-Linuesa

Abstract

In this paper we propose a system to characterize 3D defects of range images, which can be combined with traditional surface inspection methods in an industrial environment for ceramic tiles inspection. Our application has the advantage of learning the geometric features of the ceramic pieces, creating a unique 3D model against which we compare the test pieces. In addition to this, the system includes a robust learning phase, which discards tiles with defects impossible to see from a human expert and a more stringent inspection in areas with low uncertainty. Experiments with real data were performed. Our data consist of tiles of different types, shapes and silk-screen of ceramic tiles. Results are promising for tiles with a straight orientation, over 99 % of defects are correctly classified.

References

  1. Boukouvalas, C., Kittler, J., Marik, R., Mirmehdi, M., and Petrou, M. (1995). Ceramic tile inspection for color and structural defects. In Proceedings of AMPT95. pages 390-399.
  2. Boukouvalas, C., Kittler, J., Marik, R., and Petrou, M. (1999). Color grading of randomly textured ceramic tiles using color histograms. In IEEE Transactions on Industry Electronics. pages 219-226.
  3. Boukouvalas, C. and Petrou, M. (2000). Perceptual correction for color grading of random textures. In Machine, Vision and Applications. pages 129-136.
  4. Gottesfeld, L. (1992). A survey of image registration techniques. ACM Computing Surveys. pages 327-376.
  5. López, F., Acebrón, F., Valiente, J., , and Perez, E. (2001). A study of registration methods for ceramic tile inspection purposes. In Proc. of the IX Spanish Symposium on Pattern Recognition and Image Analysis. pages 145-150.
  6. López, F., Valiente, J., Baldrich, R., and Vanrell, M. (2005). Fast surface grading using color statistics in the CIE Lab space. In Iberian Conference on Pattern Recognition and Image Analysis. In LNCS 3523. pages 666- 673.
  7. Markou, M. and Singh, S. (2003). Novelty detection: a review - part 1: statistical approaches. In Signal Processing 83. pages 2481-2497.
  8. Smith, M., S. R. (2000). Automated inspection of textured ceramic tiles. In Computers in Industry 43. pages 73- 82.
  9. Valiente, J., Acebrón, F., and L ópez, F. (1998). An Automatic Visual Inspection System for Ceramic Tile Manufacturing Defects. In Proc.. IASTED Int. Conf. on Signal Processing and Communications. pages 257-260.
  10. Xie, X. (2008). A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques. In Electronic Letters on Computer Vision and Image Analysis. pages 1-22.
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Paper Citation


in Harvard Style

Pabón Rodríguez G., Andreu-García G., Rodas-Jordá A., Valiente-González J. and Acebrón-Linuesa F. (2010). 3D INSPECTION SYSTEM IN CERAMIC TILES SURFACES WITH RANGE IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 158-163. DOI: 10.5220/0002827101580163


in Bibtex Style

@conference{visapp10,
author={G. Pabón Rodríguez and G. Andreu-García and A. Rodas-Jordá and J. Valiente-González and F. Acebrón-Linuesa},
title={3D INSPECTION SYSTEM IN CERAMIC TILES SURFACES WITH RANGE IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={158-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002827101580163},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - 3D INSPECTION SYSTEM IN CERAMIC TILES SURFACES WITH RANGE IMAGES
SN - 978-989-674-029-0
AU - Pabón Rodríguez G.
AU - Andreu-García G.
AU - Rodas-Jordá A.
AU - Valiente-González J.
AU - Acebrón-Linuesa F.
PY - 2010
SP - 158
EP - 163
DO - 10.5220/0002827101580163