traitement d'images par modèles discrets sur ... - Olivier Lezoray

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130 Annexe B - Publications [31] H. Cardot and O. Lezoray. Graph of neural networks for pattern recognition. In ICPR (International Conference on Pattern Recognition), volume 2, pages 873–876, Août 2002. [32] O. Lezoray and H. Cardot. Bayesian marker extraction for color watershed in segmenting microscopic images. In ICPR (International Conference on Pattern Recognition), volume 1, pages 739–742, Août 2002. [33] O. Lezoray and H. Cardot. Histogram and watershed based segmentation of color images. In CGIV (Color in Graphics, Imaging and Vision), pages 358–362, Avril 2002. [34] C. Charrier and O. Lezoray. Influence of JPEG2000 standard compression on color image segmentation quality. In ICISP (IAPR International Conference on Image and Signal Processing), volume 2, pages 389–396, juin 2003. [35] O. Lezoray. Unsupervised 2d multiband histogram clustering and region merging for color image segmentation. In ISSPIT (IEEE International Symposium on Signal Processing and Information Technology), pages 267–270, 2003. [36] O. Lezoray and H. Cardot. Hybrid color image segmentation using 2D histogram clustering and region merging. In ICISP (IAPR International Conference on Image and Signal Processing), volume 1, pages 22–29, juin 2003. [37] O. Lezoray and A. Elmoataz. Graph based smoothing and segmentation of color images. In ISSPA (International Symposium on Signal Processing and its Applications), volume 1, pages 22–29, 2003. [38] C. Meurie, G. Lebrun, O. Lezoray, and A. Elmoataz. A comparison of supervised pixels-based color image segmentation methods. application in cancerology. In SSIP (WSEAS International Conference On Signal, Speech and Image Processing), 2003. [39] C. Meurie, G. Lebrun, O. Lezoray, and A. Elmoataz. A supervised segmentation scheme for cancerology color images. In ISSPIT (IEEE International Symposium on Signal Processing and Information Technology), pages 664–667, 2003. [40] C. Meurie, O. Lezoray, H. Cardot, and A. Elmoataz. Comparaison de classifieurs non-supervisés pour la segmentation d’images couleur : Application en imagerie biomédicale. In ICISP (IAPR International Conference on Image and Signal Processing), volume 1, pages 30–37, juin 2003. [41] O. Lezoray. An unsupervised color image segmentation based on morphological 2D clustering and fusion. In CGIV (Color in Graphics, Imaging and Vision), pages 173– 177, 2004. [42] C. Meurie, O. Lezoray, and A. Elmoataz. Multiple pixel classifier combination for bronchial tumors image segmentation. In CSIMTA (International Conference on Complex Systems Intelligence and Modern Technological Applications), volume 1, pages 305–310, 2004. special session on Color Image Processing and Analysis for Machine Vision. [43] G. Lebrun, C. Charrier, O. Lezoray, C. Meurie, and H. Cardot. Fast pixel classification by SVM using vector quantization, tabu search and hybrid color space. In A. Gagalowicz and W. Philips, editors, CAIP (International Conference on Computer Analysis of Images and Patterns), volume LNCS 3691 of Computer Science, pages 685–692. Springer, 2005. ISBN 3-540-28969-0.
Annexe B - Publications 131 [44] G. Lebrun, C. Charrier, O.Lezoray, C. Meurie, and H. Cardot. A fast and efficient segmentation scheme for cell microscopic image. In World Congress of Cellular and Molecular Biology, pages 35–36, 2005. [45] O. Lezoray, C. Meurie, and A. Elmoataz. A graph approach to color mathematical morphology. In ISSPIT (IEEE International Symposium on Signal Processing and Information Technology), pages 856–861, dec 2005. [46] Olivier Lezoray and Hubert Cardot. Combining multiple pairwise neural networks classifiers : A comparative study. In ANNIIP (International Workshop on Artificial Neural Networks and Intelligent Information Processing), pages 52–61, 2005. [47] C. Charrier, G. Lebrun, and O. Lezoray. Fusion of SVM-based microscopic color images through colorimetric transformation. In ICASSP (IEEE International Conference on Acoustics, Speech, and Signal Processing), volume 2, pages 1112–1115, 2006. [48] C. Charrier, G. Lebrun, and O. Lezoray. A machine learning-based color image quality metric. In CGIV (Color in Graphics, Imaging and Vision), pages 251–256, 2006. [49] G. Lebrun, O. Lezoray, C. Charrier, and H. Cardot. A new model selection method for SVM. In IDEAL (Intelligent Data Engineering and Automated Learning), volume LNCS 4424, pages 99–107, 2006. [50] G. Lebrun, O. Lezoray, C. Charrier, and H. Cardot. Speed-up LOO-CV with SVM classifier. In IDEAL (Intelligent Data Engineering and Automated Learning), volume LNCS 4424, pages 108–115, 2006. [51] O. Lezoray, C. Meurie, P. Belhomme, and A. Elmoataz. Multi-scale image segmentation in a hierarchy of partitions. In EUSIPCO (European Signal Processing Conference), CD Proceedings, 2006. [52] C. Charrier, G. Lebrun, and O. Lezoray. Selection of features by a machine learning expert to design a color image quality metric. In ISBN 09774740, editor, Third International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, CD Proceedings, 2007. [53] G. Lebrun, O. Lezoray, C. Charrier, and H. Cardot. An EA multi-model selection for SVM multiclass schemes. In International Work Conference on Artificial Neural Networks, Special Session on Kernel Methods, volume LNCS 4507, pages 257–264, 2007. [54] O. Lezoray, S. Bougleux, and A. Elmoataz. Parameterless discrete regularization on graphs for color image filtering. In ICIAR (International Conference on Image Analysis and Recognition), volume Lecture Notes in Computer Science 4633, pages 46–57, 2007. [55] O. Lezoray, C. Meurie, and A. Elmoataz. Mathematical morphology in any color space. In IAPR International Conference on Image Analysis and Processing, Computational Color Imaging Workshop. IEEE, 2007. [56] C. Meurie and O. Lezoray. A new method of morphological hierarchical segmentation. In VIE (IEEE and IET Visual Information Engineering), 2007. [57] V. Ta, O. Lezoray, and A. Elmoataz. Graphs regularization for data sets and images : Filtering and semi-supervised classification. In PASCAL Workshop : Learning from and with graphs, 6th IAPR -TC-15 Workshop on Graph based Representations in Pattern Recognition, CD Proceedings, 2007.
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UNIVERSITÉ de CAEN BASSE-NORMANDIE
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TABLE DES MATIÈRES 1 Introduction
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Table des matières VII A.5.2 Activ
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2 Chapitre 1 - Introduction génér
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traitement d'images par modèles discrets sur ... - Olivier Lezoray

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