C. Rosenberger, S. Chabrier, H. Laurent, and B. Emile, Unsupervised and supervised image segmentation evaluationAdvances in Image and Video Segmentation, pp.365-393, 2006.

C. Delgorge, C. Rosenberger, G. Poisson, and P. Vieyres, Towards a New Tool for the Evaluation of the Quality of Ultrasound Compressed Images, IEEE Transactions on Medical Imaging, vol.25, issue.11, 2006.
DOI : 10.1109/TMI.2006.883088

S. Chabrier, B. Emile, C. Rosenberger, and H. Laurent, Unsupervised performance evaluation of image segmentation", Special Issue on Performance Evaluation in Image Processing, EURASIP Journal on Applied Signal Processing, pp.1-12, 2006.

C. Delgorge, F. Courreges, L. Bassit, C. Novales, C. Rosenberger et al., A Tele-Operated Mobile Ultrasound Scanner Using a Light-Weight Robot, Special Issue mHealth, 2005.
DOI : 10.1109/TITB.2004.840062

S. Chabrier, C. Rosenberger, and B. Emile, Evaluation methodologies of image processing: An overview, 2006 8th international Conference on Signal Processing, 2006.
DOI : 10.1109/ICOSP.2006.345709

S. Chabrier, C. Rosenberger, H. Laurent, and Y. J. Zhang, Adaptive evaluation of image segmentation results, IEEE International Conference on Pattern Recognition (ICPR), 2006.

B. Hemery, C. Rosenberger, C. Toinard, and B. Emile, Comparative study of invariant descriptors for face recognition, 2006 8th international Conference on Signal Processing, 2006.
DOI : 10.1109/ICOSP.2006.345723
URL : https://hal.archives-ouvertes.fr/hal-00460993

S. Chabrier, H. Laurent, C. Rosenberger, and Y. J. Zhang, Supervised evaluation of synthetic and real contour segmentation results, 2006.

R. Chamelat, E. Rosso, A. Choksuriwong, C. Rosenberger, H. Laurent et al., Use of Zernike Moments for Grape Detection with Image Processing, Conference of the IEEE Industrial Electronics Society (IECON), 2006.

A. Choksuriwong, C. Rosenberger, and B. Emile, Parametrization of a local invariant object recognition technique, Conference of the IEEE Industrial Electronics Society (IECON), 2006.

P. Bro, C. Rosenberger, H. Laurent, C. Gaete-eastman, M. Fernández et al., A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid, IFIP International Federation for Information Processing, pp.335-344, 2006.
DOI : 10.1007/978-0-387-34747-9_35

P. Fayolle, S. Silva, G. Latinier, D. Saffrey, C. Rosenberger et al., Shape Modeling With Genetic Programming, IEEE Virtual Reality International Conference (VRIC), pp.235-241, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00461000

V. Arguenon, A. Bergues-lagarde, C. Rosenberger, P. Bro, and W. Smari, Multi-Agent Based Prototyping of Agriculture Robots, International Symposium on Collaborative Technologies and Systems (CTS'06), 2006.
DOI : 10.1109/CTS.2006.57

P. Fayolle, A. Pasko, N. Mirenkov, C. Rosenberger, and C. Toinard, Constructive Tree Recovery Using Genetic Algorithms, International Conference on Visualization , Imaging and Image processing, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00461021

G. Bougeniere, P. Moulon, C. Rosenberger, and W. Smari, On the determination of 3D Trajectory of Moving Targets by Stereovision, IEEE International Conference on Computers, Communications, and Signal Processing (CCSP), 2005.

V. Deligeon, G. Mahe, C. Rosenberger, P. Bro, and W. Smari, Distributed and Scalable Vision System for Quality Control of Cherries, International Conference on Computer Applications in Industry and Engineering (CAINE), 2005.

P. B. Bro, C. Rosenberger, H. Laurent, C. Gaete, and M. Fernandez, Application of a support vector machine to spectrograms for determination of papaya ripeness, Workshop on Artificial Intelligence, 2005.

A. Choksuriwong, H. Laurent, C. Rosenberger, and C. Maaoui, Object Recognition Using Local Characterisation and Zernike Moments, International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), pp.108-115, 2005.
DOI : 10.1007/11558484_14

S. Chabrier, B. Emile, and C. Rosenberger, Texture detection for image analysis Lecture Notes in Computer science, International Conference on Advances in Pattern Recognition (ICAPR), pp.455-463, 2005.

C. Delgorge, C. Rosenberger, G. Poisson, and P. Vieyres, Evaluation of the Quality of Ultrasound Image Compression by Fusion of Criteria with a Genetic Algorithm, International Conference on Advances in Pattern Recognition (ICAPR), Lecture Notes in Computer science, pp.464-472, 2005.
DOI : 10.1007/11552499_52

S. Chabrier, C. Rosenberger, H. Laurent, and A. Rakotomamonjy, Segmentation Evaluation Using a Support Vector Machine, International Conference on Advances in Pattern Recognition (ICAPR), Lecture Notes in Computer science, pp.426-435, 2005.
DOI : 10.1007/11551188_46

C. Delgorge, C. Rosenberger, G. Poisson, and P. Vieyres, Evaluation of the quality of ultrasound image compression for a robotic tele-echographic system, Computers in Cardiology, 2005, 2005.
DOI : 10.1109/CIC.2005.1588219

C. Maaoui, H. Laurent, and C. Rosenberger, 2D color shape recognition using Zernike moments, IEEE International Conference on Image Processing 2005, 2005.
DOI : 10.1109/ICIP.2005.1530557

C. Delgorge, C. Rosenberger, A. Rakotomamonjy, G. Poisson, and P. Vieyres, Evaluation of the Quality of Ultrasound Image Compression by Fusion of Criteria with a Support Vector Machine, 2005.

S. Chabrier, C. Rosenberger, and B. Emile, Segmentation Evaluation by Fusion with a Genetic Algorithm, 2005.

C. Maaoui, C. Rosenberger, and B. Emile, Robust color object detection and recognition, 2005.

A. Choksuriwong, C. Rosenberger, and W. Smari, Multi-agents system for image understanding, International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005., 2005.
DOI : 10.1109/KIMAS.2005.1427070

S. Chabrier, B. Emile, H. Laurent, C. Rosenberger, and P. Marché, Unsupervised evaluation of image segmentation application to multi-spectral images, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.576-579, 2004.
DOI : 10.1109/ICPR.2004.1334206

P. Fayolle, C. Rosenberger, and C. Toinard, 3D shape reconstruction of template models using genetic algorithms, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.269-272, 2004.
DOI : 10.1109/ICPR.2004.1334158

P. Fayolle, C. Rosenberger, and C. Toinard, Shape Recovery and Functional Modeling Using Genetic Algorithms, IEEE Virtual Reality International Conference (VRIC), pp.227-232, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00461170

S. Chabrier, C. Rosenberger, H. Laurent, B. Emile, and P. Marché, Evaluating the segmentation result of a gray-level image, pp.953-956, 2004.

S. Chabrier, H. Laurent, B. Emile, C. Rosenberger, and P. Marché, A comparative study of supervised evaluation criteria for image segmentation, pp.1143-1146, 2004.

C. Rosenberger, A. Rakotomamonjy, B. Emile, and E. , Generic target recognition, pp.1613-1616, 2004.

C. Rosenberger and K. Chehdi, Unsupervised segmentation of multi-spectral images, International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 2003.

F. Poupeau, C. Rosenberger, H. Laurent, and B. Emile, Calibration and quality control of cherries by artificial vision, Sixth International Conference on Quality Control by Artificial Vision, 2003.
DOI : 10.1117/12.515126

C. Rosenberger and K. Chehdi, Supervised genetic image segmentation, IEEE International Conference on Systems, Man and Cybernetics, 2002.
DOI : 10.1109/ICSMC.2002.1176428

A. Benali, C. Rosenberger, and P. Marché, Application of telerobotic computer vision system in manufacturing control process, IEEE International Conference on Systems, Man and Cybernetics, 2002.
DOI : 10.1109/ICSMC.2002.1175690
URL : https://hal.archives-ouvertes.fr/hal-01053201

C. Delgorge, C. Rosenberger, P. Vieyres, and G. Poisson, JPEG 2000, an adapted compression method for ultrasound images ? A comparative study, International Conference on Systemics, Cybernetics and Informatics (SCI), pp.536-539, 2002.

A. Benali, C. Rosenberger, and P. Marché, Teleoperation of an Industrial Vision System, International Symposium on Advanced Robot Systems and Virtual Reality (ISMCR), ss, p.8, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01053202

C. Rosenberger and C. Cariou, Contribution to Texture Analysis, International Conference on Quality Control by Artificial Vision (QCAV), vol.1, pp.122-126, 2001.

C. Delgorge, P. Vieyres, G. Poisson, C. Rosenberger, and P. Arbeille, Comparative survey of ultrasound images compression methods dedicated to a tele-echography robotic system, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001.
DOI : 10.1109/IEMBS.2001.1017276

B. Migeon, C. Rosenberger, and P. Marché, Correction of zoomed morphology-based interpolation of contours, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001.
DOI : 10.1109/IEMBS.2001.1017294

C. Rosenberger and K. Chehdi, Unsupervised clustering method with optimal estimation of the number of clusters: application to image segmentation, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.1656-1659, 2000.
DOI : 10.1109/ICPR.2000.905473

C. Rosenberger and K. Chehdi, A New Way To Evaluate Segmentation Results, Internationnal Conference on Image and Graphics (ICIG), 2000.

C. Rosenberger, C. Cariou, and K. Chehdi, Rotation Invariant Texture Analysis : A Comparative Study, EUSIPCO, 2000.

C. Rosenberger and K. Chehdi, Adaptive segmentation system, WCC 2000, ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000, pp.918-921, 2000.
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R. Cozien, C. Rosenberger, P. Eyherabide, J. Rossetini, and A. Ceyrolle, Target detection and identification using neural networks and multi-agents systems, Proceedings of the Third International Conference on Information Fusion, pp.1-10, 2000.
DOI : 10.1109/IFIC.2000.862502

C. Rosenberger and K. Chehdi, Genetic fusion: application to multi-components image segmentation, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.2219-2222, 2000.
DOI : 10.1109/ICASSP.2000.859280

R. Cozien, C. Rosenberger, P. Eyherabide, J. Rossetini, and A. Shi, Multi-agent systems and neural networks of a distributed architecture for target identification of air images, SPIE International Conference Parallel and Distributed Methods for Image Processing IV, pp.164-174, 2000.

R. Cozien, C. Rosenberger, P. Eyherabide, J. Rossetini, and A. Ceyrolle, <title>Multi-agent systems and neural networks for automatic target recognition on air images</title>, Automatic Target Recognition X, pp.139-148, 2000.
DOI : 10.1117/12.395556

C. Rosenberger and K. Chehdi, Analyse Globale et Locale d'une Image, International Symposium on Image/Video Communications over fixed and Mobile Networks (ISIVC), pp.17-24, 2000.

K. Chehdi, C. Rosenberger, and C. Kermad, Segmentation d'images CASI par fusion génétique, International Symposium on Image/Video Communications over fixed and Mobile Networks (ISIVC), pp.168-175, 2000.

C. Kermad, K. Chehdi, and C. Rosenberger, Segmentation d'images multi-bandes par multiseuillage scalaire Application aux images CASI, International Symposium on Image/Video Communications over fixed and Mobile Networks (ISIVC), pp.9-16, 2000.

C. Rosenberger, K. Chehdi, C. Cariou, and J. M. Ogier, Texture analysis of an image by using a rotation-invariant model, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999.
DOI : 10.1109/ICASSP.1999.757544

C. Cariou, O. Alata, C. Rosenberger, J. M. Ogier, and K. Chehdi, Recognition of Rotated and Scaled Textures Using 2-D AR Modeling and the Fourier-Mellin Transform, EUSIPCO, 1998.

C. Rosenberger, J. Ogier, C. Cariou, and K. Chehdi, A statistical solution to evaluate image processing techniques, International Conference on Information Processing and Management of Uncertainty in Knowledge based Systems (IPMU), 1998.

J. Ogier, C. Rosenberger, C. Cariou, and K. Chehdi, CAATI : A system based dynamic interpretation device, International Conference on Information Systems Analysis and Synthesis (ISAS), 1998.

C. Delgorge, C. Rosenberger, G. Poisson, and P. Vieyres, Evaluation de la qualité de résultats de compression d'images ultrasonores, Conférences nationales avec comité de lecture et avec actes 1, 2006.

S. Chabrier, C. Rosenberger, and B. Emile, Evaluation de la performance de la segmentation d'images par fusion de critères", congrès jeunes chercheurs en Vision par ordinateur ORASIS, 2005.

S. Chabrier, H. Laurent, C. Rosenberger, and A. Rakotomamonjy, Fusion de critères pour l'évaluation de résultats de segmentation d'images, 20ème Colloque GRETSI, 2005.

A. Chokusriwong, R. Lavertu, L. Maze, and C. Rosenberger, Reconnaissance d'objets dans une image, Journée Pôle Capteur, 2004.

H. Laurent, B. Emile, and C. Rosenberger, Etude comparative de critères d'évaluation de la segmentation, Colloque GRETSI, 2003.

F. Poupeau, C. Rosenberger, H. Laurent, and B. Emile, Calibrage et Contrôle qualité de cerises par vision artificielle, Journée Pôle Capteur, 2002.

C. Cariou and C. Rosenberger, Analyse de textures invariante par rotation : Une étude comparative, Traitements et analyse d'images, Méthodes et applications (TAIMA), pp.189-194, 2001.

C. Cassier, C. Rosenberger, J. Louboutin, and P. Marché, Comparaison de différentes méthodes pour la segmentation et l'analyse de documents, Traitements et analyse d'images, Méthodes et applications (TAIMA), pp.177-182, 2001.

C. Rosenberger, Fusion génétique de résultats de segmentation, 18ème Colloque GRETSI, 2001.

K. Chehdi and C. Rosenberger, Analyse et Segmentation de textures à partir d'attributs invariants par rotation, 17ème Colloque GRETSI, 1999.

C. Delgorge, C. Rosenberger, G. Poisson, and P. Vieyres, Communications sans comité de lecture et sans actes 1Evaluation de la qualité de la compression d'images ultrasonores, 2006.

C. Rosenberger and G. Prc-isis, Méthodologies d'évaluation de traitements d'images, 2005.

C. Rosenberger, Reconstruction 3D d'objets par une représentation fonctionnelle, Séminaire du laboratoire d'Informatique fondamentale d'Orléans (LIFO), 2005.

C. Rosenberger, Une image peut en cacher une autre, Conférence les Mardis de la science, 2000.

C. Rosenberger and K. Chehdi, Fusion génétique : Application aux images multicomposantes, 2000.

C. Rosenberger and K. Chehdi, Evaluation d'un résultat de segmentation sans connaissance de la vérité de terrain, GDR PRC-ISIS, 1999.

. C. Rapports-de-recherche-1 and . Rosenberger, Rapport d'expertise ANVAR (confidentiel)" 2006. 2Rapport d'activités de l'équipe Signal, Image et VisionRapport d'activités de l'équipe Signal, 2003.

C. Rosenberger, Rapport final PTR : Contrôle qualité de cerises par vision, 2003.

C. Kermad, C. Rosenberger, M. P. Vandecandelaere, B. Vozel, and K. Chehdi, Segmentation d'images multi-composantes par fusion génétique : application aux images CASI, 2000.

C. Rosenberger and K. Chehdi, Rapport Région final Rapport de recherche - LASTI, septembre, 1999.

C. Rosenberger and K. Chehdi, Rapport Région 2ème année", Rapport de recherche -LASTI, septembre, 1998.

C. Rosenberger and K. Chehdi, Rapport Région 1ère année, 1997.

O. Le-système, (a) le poste expert, (b) la sonde fictive et (c) le poste patient, p.45

.. Principe-du-critère-d-'évaluation-adaptatif, 96 4.18 T BC V IN de la fusion des 6 critères par l'algorithme génétique sur un pourcentage de la base globale (barres en bleu) par rapport à l'optimal obtenu sans fusion (pointillés rouges), p.97

B. In-de-différentes and .. , combinaisons de critères sur la base globale (barres bleues) par rapport à l'optimal obtenu sans fusion (pointillés rouges), p.98

B. In-de-différentes and .. , combinaisons de critères déterminées par l'algorithme génétique sur la base globale (barres bleues) par rapport à l'optimal obtenu sans fusion (pointillés rouges), p.99

B. In-de-la and .. , fusion des 6 critères par apprentissage sur un pourcentage de la base globale (barres bleues) par rapport à l'optimal obtenu sans fusion (pointillés rouges), p.100

B. In, T. Bc-v-in-décroissants, and .. , apprentissage de comparaisons de résultats de segmentation déterminé par un séparateur à vaste marge utilisant la base globale en apprentissage (barres bleues) par rapport à l'optimal obtenu sans fusion (pointillés rouges) Les critères fusionnés sont choisis par, p.100

B. In-de-l-le and S. , apprentissage de comparaisons de résultats de segmentation de n critères déterminé par un séparateur à vaste marge utilisant la base globale en apprentissage (barres bleues) par rapport à l'optimal obtenu sans fusion (pointillés rouges) Les critères fusionnés sont sélectionnés par, p.101

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