Export 99 results:

Journal Article

  1. [VELU-07]J. Velut, Benoit-Cattin, H., and Odet, C., Locally regularized Smoothing B-Snake, Eurasip J Adv Signal Proces, vol. 2007, p. Article ID 76241, 12 pages, 2007.
  2. [BASK-94]A. Baskurt, Odet, C., and Goutte, R., Image coding on phobos space probe, Eurasip Image Communication, vol. 6, pp. 479-484, 1994.

Conference Paper

  1. [PRIE-12a]J. C. Prieto, Revol-Muller, C., Peyrin, F., Camelitti, P., and Odet, C., 3D Texture synthesis for modeling realistic organic tissues, in VISAPP 2012. International Conference on Computer Vision Theory and Applications, Rome, Italy, 2012, pp. 60-65.
  2. [PRIE-12e]J. C. Prieto, Pérez Romanello, C., Pérez Romanello, V., Revol-Muller, C., Odet, C., Orkisz, M., and Hernández Hoyos, M., Segmentación del árbol vascular pulmonar, in XXXVIII Conferencia Latinoamericana en Informática (CLEI), Medellín, Colombia, 2012, pp. 1-7.
  3. [REVO-12c]C. Revol-Muller, Rose, J. L., Pacureanu, A., Peyrin, F., and Odet, C., Shape Prior in Variational Region Growing, in International Conference on Image Processing Theory, Tools and Applications, IPTA'12, 2012, p. in press.
  4. [PRIET-12d]J. C. Prieto, Mihaila, S., Hilaire, A., Fanton, L., Odet, C., and Revol-Muller, C., Age estimation from 3D X-ray CT images of human fourth ribs, in Worldcomp'12: 16th International Conference on Image Processing, Computer Vision, & Pattern Recognition IPCV'12, Las Vegas, Nevada, USA, 2012.
  5. [ROSE-09a]J. L. Rose, Revol-Muller, C., Reichert, C., and Odet, C., Variational region growing, in VISAPP-09 International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, 2009, p. in-press.
  6. [ROSE-09b]J. L. Rose, Revol-Muller, C., Charpigny, D., and Odet, C., Shape prior criterion based on Tchebichef moments in variational region growing, in IEEE International Conference on Image Processing ICIP'09, Cairo, Egypt, 2009, p. in-press.
  7. [ROSE-08b]J. L. Rose, Revol-Muller, C., Langlois, J. B., Janier, M., and Odet, C., 3D region growing integrating adaptive shape prior, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, Paris, France, 2008, pp. 967-970.
  8. [CHAR-08b]D. Charpigny, Grenier, T., Odet, C., Pauly, J., and Benoit-Cattin, H., Deconvolution Approach for Susceptibility Map Building, in European Society for Magnetic Resonance in Medicine and Biology, 25st Annual Scientific Meeting ESMRMB, Valencia, Spain, 2008, p. in-press.
  9. [DU-08]X. Du, Velut, J., Bolbos, R., Beuf, O., Odet, C., and Benoit-Cattin, H., 3-D knee Cartilage Segmentation Using a Smoothing B-Spline Active surface, in IEEE International Conference on Image Processing, San Diego, California, USA, 2008, p. 1986.
  10. [ROSE-07]J. L. Rose, Revol-Muller, C., Almajdub, M., Chereul, E., and Odet, C., Shape Prior Integrated in an Automated 3D Region Growing method, in IEEE International Conference on Image Processing ICIP'07, San Antonio, USA, 2007, pp. 53–56.
  11. [BELA-06a]B. Belaroussi, Benoit-Cattin, H., and Odet, C., CASTI: Correction of susceptibility artifact in MR images using MRI simulation, in IEEE International Conference on Image Processing ICIP'06, Atlanta, USA, 2006, pp. 897-900.
  12. [VELU-06a]J. Velut, Benoit-Cattin, H., and Odet, C., Segmentation by Smoothing B-Spline active surface, in IEEE International Conference on Image Processing ICIP'06, Atlanta, USA, 2006, pp. 209-212.
  13. [REGR-05]B. Regrain, Boix, E., Odet, C., and Benoit-Cattin, H., DaVaW: A python library for medical imaging application, in IEEE International Conference on Image Processing, Some City, Some Country, 2005, pp. 1004-1007.
  14. [BOLB-04]R. Bolbos, Beuf, O., Benoit-Cattin, H., Odet, C., Pastoureau, P., and Janier, M., Cartilage characterization method in a guinea pig osteoarthritis model: Reproducibility of morphological measures using MRI, in European Society for Magnetic Resonance in Medicine and Biology, 21st Annual Scientific Meeting, Copenhagen, Denmark, 2004, p. 38.
  15. [GOUA-04c]A. Gouaillard, Kawata, H., Kanai, T., Odet, C., and Gu, X., Localization of Topological Artifacts on 3D Meshes, in The 11th International Conference on Geometry and Graphics, Guangzhou, P.R. China, 2004.
  16. [BENO-03]H. Benoit-Cattin, Bellet, F., Montagnat, J., and Odet, C., Magnetic Resonance Imaging (MRI) Simulation on a Grid Computing Architecture, in Biogrid'03, proceedings of the IEEE CCGrid03, Tokyo, Japan, 2003, pp. 582-587.
  17. [GOUM-03]A. B. Goumeidane, Khamadja, M., Belaroussi, B., Benoit-Cattin, H., and Odet, C., New Discrepancy Measures for Segmentation Evaluation, in IEEE International Conference on Image Processing ICIP'03, Barcelona, Spain, 2003, pp. 411-414.
  18. [BELA-03]B. Belaroussi, Odet, C., and Benoit-Cattin, H., Application of Scalable Discrepancy Measures for Computer Vision Image Segmentation Tasks, in Quality Control by Artificial Vision (QCAV'03), Gatlinburg, Tennessee, USA, 2003, pp. 56-62.
  19. [BELA-02]B. Belaroussi, Odet, C., and Benoit-Cattin, H., Scalable discrepancy measures for segmentation evaluation, in IEEE International Conference on Image Processing ICIP'02, Rochester, New-York, USA, 2002, vol. 1, pp. 785-788.
  20. [BENO-01a]H. Benoit-Cattin, Zouagui, T., and Odet, C., Functionnal model and Object Oriented programming for image segmentation methods, in International Conference on Quality Control by Artificial Vision (QCAV'01), Le Creusot, France, 2001, vol. 2, pp. 391-394.
  21. [BENO-01b]H. Benoit-Cattin, Zouagui, T., and Odet, C., Vers une vision fonctionnelle de la segmentation d'images, in Congrès Francophone de Vision par Ordinateur ORASIS'01, Cahors, France, 2001, vol. 2, pp. 425-433.
  22. [REVO-00a]C. Revol-Muller, Peyrin, F., Odet, C., and Carillon, Y., Automated 3D region growing algorithm governed by an evaluation function, in IEEE International Conference on Image Processing ICIP'00, Vancouver, Canada, 2000.
  23. [BORR-98b]G. Borras, Odet, C., Vuorinen, K., and Jacquemod, G., Improving resolution of solid-state linear array X-Ray detectors, in Annual Symposium on Electronic Imaging'98, Some City, Some Country, 1998.
  24. [KHOU-98b]L. Khouas, Odet, C., and Friboulet, D., A 2D texture model based on an autoregressive approach for 3D furlike texture synthesis, in Proceedings 10th Workshop on Image and Multidimensional Digital Signal Processing (IMDSP'98), Alpbach, Austria, 1998, pp. 175–178.
  25. [KHOU-98d]L. Khouas, Odet, C., and Friboulet, D., 3D Furlike texture generation by a 2D autoregressive synthesis, in Proceedings International Conference in Central Europe on Computer (WSCG'98) Graphics and Visualization, Plzen, Czech Republic, 1998, pp. 171–177.
  26. [DUPO-97c]F. Dupont, Odet, C., and Zhu, Y. M., Control of flat steel products by texture segmentation in the Wigner-Ville domain, in Quality control by Artificial Vision (QCAV'97), Clermont-Ferrand, France, 1997, pp. 225–230.
  27. [BORR-97a]G. Borras, Odet, C., Peyrin, F., and Cendre, E., Resolution enhancement in Computed Assisted Tomography, in Quality Control and Artificial Vision, Le Creusot, France, 1997, pp. 218–222.
  28. [DUPO-96]F. Dupont, Zhu, Y. M., Odet, C., and Goutte, R., Texture classification in the Wigner-Ville domain, in 3th International Conference on Signal Processing ICSP'96, Beijing, P.R. China, 1996, pp. 327–330.
  29. [BASK-95a]A. Baskurt, Benoit-Cattin, H., and Odet, C., On a 3D medical image coding method using a separable 3D wavelet transform, in SPIE Medical Imaging IX : Image display, San Diego, USA, 1995, vol. 2431, pp. 173–183.
  30. [DUPO-93a]F. Dupont, Odet, C., Carton, M., and Alexandre, P., Automatic recognition and analysis of surface defects on pickled steel sheet, in SPIE : Applications of Artificial Intelligence : Machine Vision and Robotics, Orlando, USA, 1993, vol. 1964, pp. 78–89.
  31. [DUPO-93b]F. Dupont, Odet, C., Carton, M., and Alexandre, P., Reconnaissance de défauts sur tôles décapées, in Colloque Contrôle Qualité par Vision Industrielle, Le Creusot, France, 1993, pp. 84–93.
  32. [BASK-91d]A. Baskurt, Odet, C., and Goutte, R., Détection de mouvements en utilisant des critères invariants par rotation, in 13ème colloque sur le traitement du signal et des images, GRETSI-91, Juan-les-Pins, France, 1991, pp. 157–160.
  33. [NEYR-91]B. Neyran, Charry, M. C., Barbier, B., and Odet, C., Segmentation automatique d'angiographies cardiaques, in 13ème colloque GRETSI sur le traitement du signal et des images, Antibes, France, 1991, pp. 153–156.
  34. [ALRI-91]S. Alric, Odet, C., Neyran, B., and Dautraix-Ricard, I., Système interactif de mesure et de visualisation stéréoscopique, in 1er Festival International de l'image en relief, Paris, France, 1991, pp. 1–7.

Book Chapter

  1. [REVO-13]C. Revol-Muller, Grenier, T., Rose, J. L., Pacureanu, A., Peyrin, F., and Odet, C., Region Growing: When Simplicity Meets Theory. Region growing revisited in feature space and variational framework, in Lecture Notes Series of Communications in Computer and Information Science (CCIS), Springer-Verlag, vol. 359, 2013, pp. 426-444.
  2. [ODET-01]C. Odet, Chap. 5 : Image ou images, in Traité IC2 Les systèmes de vision, J. M. Jolion Paris, France: Hermès, Publ., 2001, pp. 133–157.

Invited Conference

  1. [ODET-98b]C. Odet, Blanchard, D., and Dupont, F., Main components of on-line inspection systems, ECSC Workshop on-line optical surface inspection of steel strip achievements and outlook, February 5-6. Brussels, Belgium, pp. 17–31, 1998.

HDR

  1. [ODET-98a]C. Odet, Optimisation des méthodes de contrôle non destructif des matériaux par vision artificielle: application au contrôle des produits sidérurgiques en défilement. INSA Lyon, 1998.
    Husson R. (rap.), Postaire J.G (rap.), Truchetet F. (rap.), Bonton P., Goutte R., Lamure M., Lattuati V. et Tourscher G.

Miscellaneous

  1. [PRIE-11]J. C. Prieto, Revol-Muller, C., and Odet, C., Modélisation multiparamétrique d'organes basée sur le codage de la structure interne, Journée Sciences Croisées Insa-Lyon: Modélisation et Sciences numériques. 2011.
  2. [ODET-07]C. Odet, Rose, J. L., and Revol-Muller, C., Synthèse générale des méthodes de segmentation intégrant de l'a priori géométrique , Réunion des GDR STIC-SANTE Thème B: "Signaux et Images en santé" et GDR ISIS Thème B : "Image et Vision", Journée thématique commune: "Segmentation de structures anatomiques avec intégration d’a priori géométrique". 2007.