OTOLITH IMAGE ANALYSIS BY COMPUTER VISION

Anatole Chessel, Ronan Fablet, Charles Kervrann, Frederic Cao

2008

Abstract

Otoliths are small stone located in fish inner ears and characterised by an accretionnary growth. They act as a biological archive and are of much use in marine biology and ecology. In this article a computer vision framework is presented which recover the successive shapes of the otolith and the significant ridges and valleys from a 2D grayscale image. Seeing vision processes as complex systems, an iterated process is presented using two perceptual information, contrast and good continuity. The successive concentric shapes of the otoliths are recovered as the level-sets of a dome shaped potential function, computed in a variational framework. Potential applications includes in particular fish age estimation, otoliths morphogenesis modelling, otolith proxy fusion.

References

  1. Benkirane, R., editor (2002). La complexit, vertiges et promesses. Le pommier.
  2. Bernardini, F. and Bajaj, C. L. (1997). Sampling and reconstructing manifolds using alpha-shapes. In Proc. 9th Canadian Conf. Computational Geometry, pages 193-198.
  3. Cabral, B. and Leedom, L. C. (1993). Imaging vector fields using line integral convolution. In SIGGRAPH 7893, pages 263-270.
  4. Caselles, V., Morel, J., and Sbert, C. (1998). An axiomatic approach to image interpolation. IEEE Trans. Image Processing, 7(3):376-386.
  5. Chessel, A., Cao, F., and Fablet, R. (2006). Orientation interpolation: an axiomatic approach. In European Conference on Conputer Vision.
  6. D'arcy Thompson, W. (1917). On Growth and Form. London press.
  7. Desolneux, A., Moisan, L., and Morel, J.-M. (2003). A grouping principle and four applications. PAMI, 25(4):508-513.
  8. Fablet, R., Pujolle, S., Chessel, A., Benzinou, A., and Cao, F. (2006). Variational level-set reconstruction of accretionary morphogenesis from images. In IEEE International Conference on Image Processing.
  9. Felzenszwalb, P. F. (2005). Representation and detection of deformable shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2).
  10. Froment, J. (1998). Megawave2. http://www.cmla.ens-cachan.fr/Cmla/Megawave/.
  11. Guillau, A., Benzinou, A., Troadec, H., Rodin, V., and Le Bihan, J. (2002). Autonomous agents for edge detection and continuity perception on otolith images. Image and Vision Computing, 20(13):955-968.
  12. Kanizsa, G. (1979). Organization in Vision: Essays on Gestalt Perception. Greenwood Publishing Group.
  13. Mumford, D. (1994). Elastica and computer vision. In Bajaj, C., editor, Algebraic Geometry and Its Applications, pages 491-506. Springer-Verlag.
  14. Panfili, J., de Pontual, H., Troadec, H., and Wright, P., editors (2002). Manual of fish sclerochronology. Ifremerird coedition.
  15. Parent, P. and Zucker, W. (1989). Trace inference, curvature consistency, and curve detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(8):823-839.
  16. Serrat, J., Lopez, A., and Lloret, D. (2000). On ridges and valleys. In International Conference on Pattern Recognition ICPR'00, pages 59-66.
  17. Sole, A., Lopez, A., and Sapiro, G. (2001). Crease enhancement diffusion. Comput. Vis. Image Underst., 84:241- 248.
  18. Thomas, R. and Thieffry, D. (1995). Les boucles de rtroaction, rouages des rseaux de rgulation biologiques. Mdecine sciences, 11(2):189-197.
  19. Troadec, H., Benzinou, A., Rodin, V., and Le Bihan, J. (2000). Use of deformable template for twodimensional growth ring detection of otoliths by digital image processing: - application to plaice (pleuronectes platessa) otoliths. Fisheries Research, 46(1):155-163.
  20. Zweck, J. and Williams, L. (2004). Euclidian group invariant computation of stochastic completion fields using shiftable-twistable basis function. J. Math. Imaging and Vision, 21(2):135-154.
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Paper Citation


in Harvard Style

Chessel A., Fablet R., Kervrann C. and Cao F. (2008). OTOLITH IMAGE ANALYSIS BY COMPUTER VISION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 490-497. DOI: 10.5220/0001067204900497


in Bibtex Style

@conference{biosignals08,
author={Anatole Chessel and Ronan Fablet and Charles Kervrann and Frederic Cao},
title={OTOLITH IMAGE ANALYSIS BY COMPUTER VISION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={490-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001067204900497},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - OTOLITH IMAGE ANALYSIS BY COMPUTER VISION
SN - 978-989-8111-18-0
AU - Chessel A.
AU - Fablet R.
AU - Kervrann C.
AU - Cao F.
PY - 2008
SP - 490
EP - 497
DO - 10.5220/0001067204900497