Deterministic Method for Automatic Visual Grading of Seed Food Products

Pierre Dubosclard, Stanislas Larnier, Hubert Konik, Ariane Herbulot, Michel Devy

2015

Abstract

This paper presents a deterministic method for automatic visual grading, designed to solve the industrial problem of evaluation of seed lots. The sample is thrown in bulk onto a tray placed in a chamber for acquiring color image. An image processing method had been developed to separate and characterize each seed. Shape learning is performed on isolated seeds. The collected information is used for the segmentation. A first step is made based on simple criteria such as regions, edges and normals to the boundary. Then, an active contour with shape prior is performed to improve the results.

References

  1. Agustin, O. and Oh, B.-J. (2008). Automatic milled rice quality analysis. In Second International Conference on Future Generation Communication and Networking, 2008. FGCN 7808, volume 2, pages 112-115.
  2. Bresson, X., Vandergheynst, P., and Thiran, J.-P. (2006). A variational model for object segmentation using boundary information and shape prior driven by the mumford-shah functional. International Journal of Computer Vision, 68(2):145-162.
  3. Chan, T. and Vese, L. (2001). Active contours without edges. IEEE Transactions on Image Processing, 10(2):266-277.
  4. Chen, Y., Tagare, H., Thiruvenkadam, S., Huang, F., Wilson, D., Gopinath, K., Briggs, R., and Geiser, E. (2002). Using prior shapes in geometric active contours in a variational framework. International Journal of Computer Vision, 50(3):315-328.
  5. Descombes, X., Minlos, R., and Zhizhina, E. (2009). Object extraction using a stochastic birth-and-death dynamics in continuum. Journal of Mathematical Imaging and Vision, 33:136-139.
  6. Dubosclard, P., Larnier, S., Konik, H., Herbulot, A., and Devy, M. (2014). Automatic method for visual grading of seed food products. In International Conference on Image Analysis and Recognition (ICIAR), volume 1 of Lecture Notes in Computer Science, pages 485-495.
  7. Faessel, M. and Courtois, F. (2011). Touching grain kernels separation by gap-filling. Image Analysis and Stereology, 28(3):195-203.
  8. Leventon, M., Grimson, W. E. L., and Faugeras, O. (2000). Statistical shape influence in geodesic active contours. In IEEE Conference on Computer Vision and Pattern Recognition, 2000, volume 1, pages 316-323.
  9. MacQueen, J. B. (1967). Some methods for classification and analysis of multivariate observations. In Cam, L. M. L. and Neyman, J., editors, Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297. University of California Press.
  10. Otsu, N. (1979). A threshold selection method from graylevel histograms. IEEE Transactions on Systems, Man and Cybernetics, 9(1):62-66.
  11. Yao, Q., Zhou, Y., and Wang, J. (2010). An automatic segmentation algorithm for touching rice grains images. In International Conference on Audio Language and Image Processing (ICALIP), pages 802-805.
Download


Paper Citation


in Harvard Style

Dubosclard P., Larnier S., Konik H., Herbulot A. and Devy M. (2015). Deterministic Method for Automatic Visual Grading of Seed Food Products . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 212-217. DOI: 10.5220/0005188102120217


in Bibtex Style

@conference{icpram15,
author={Pierre Dubosclard and Stanislas Larnier and Hubert Konik and Ariane Herbulot and Michel Devy},
title={Deterministic Method for Automatic Visual Grading of Seed Food Products},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={212-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005188102120217},
isbn={978-989-758-076-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deterministic Method for Automatic Visual Grading of Seed Food Products
SN - 978-989-758-076-5
AU - Dubosclard P.
AU - Larnier S.
AU - Konik H.
AU - Herbulot A.
AU - Devy M.
PY - 2015
SP - 212
EP - 217
DO - 10.5220/0005188102120217