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Publications ~ Segmentation Tuesday, October 24th 2017, 07:52

Publications about Segmentation

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5 Articles
1 - A study of Gaussian mixture models of colour and texture features for image classification and segmentation.
H. Permuter and J.M. Francos and I. H. Jermyn. Pattern Recognition, 39(4): pages 695--706, April 2006.
Keywords : Classification, Segmentation, Texture, Colour, Gaussian mixture, Decison fusion.
2 - An approximation of the Mumford-Shah energy by a family of dicrete edge-preserving functionals.
G. Aubert and L. Blanc-Féraud and R. March. Nonlinear Analysis, 64: pages 1908-1930, 2006.
Keywords : Gamma Convergence, Finite Element, Segmentation.
3 - Detecting codimension-two objects in an image with Ginzburg-Landau models.
G. Aubert and J.F. Aujol and L. Blanc-Féraud. International Journal of Computer Vision, 65(1-2): pages 29-42, November 2005.
Keywords : Ginzburg-Landau model, Point Detection, Segmentation, PDE, Biological images, SAR Images.
4 - Supervised Segmentation of Remote Sensing Images Based on a Tree-Structure MRF Model.
G. Poggi and G. Scarpa and J. Zerubia. IEEE Trans. Geoscience and Remote Sensing, 43(8): pages 1901-1911, August 2005.
Keywords : Classification, Segmentation, Markov Fields.
5 - Globally optimal regions and boundaries as minimum ratio weight cycles.
I. H. Jermyn and H. Ishikawa. IEEE Trans. Pattern Analysis and Machine Intelligence, 23(10): pages 1075-1088, October 2001.
Keywords : Graph, Ratio, Cycle, Segmentation, Global minimum.
Copyright : ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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3 PhD Thesis and Habilitations
1 - Détection de Filaments dans des images 2D et 3D; modélisation, étude mathématique et algorithmes..
A. Baudour. PhD Thesis, Universite de Nice Sophia Antipolis, May 2009.
Keywords : imagerie 3D, Segmentation, filaments, Deconvolution, Variational methods, mocroscopie confocale.
2 - Indexing of satellite images using structural information.
A. Bhattacharya. PhD Thesis, Ecole Nationale Supérieure des Télécommunications, 2007.
Keywords : Landscape, Segmentation, Features, Extraction, Classification, Data mining.
3 - Analyse de Texture par Méthodes Markoviennes et par Morphologie Mathématique : Application à l'Analyse des Zones Urbaines sur des Images Satellitales.
A. Lorette. PhD Thesis, Universite de Nice Sophia Antipolis, September 1999.
Keywords : Texture, Segmentation, Markov Fields, Mathematical morphology, Urban areas.

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10 Conference articles
1 - Morphological road segmentation in urban areas from high resolution satellite images.
R. Gaetano and J. Zerubia and G. Scarpa and G. Poggi. In International Conference on Digital Signal Processing, Corfu, Greece, July 2011.
Keywords : Segmentation, Classification, skeletonization , pattern recognition, shape analysis.
2 - Brain tumor vascular network segmentation from micro-tomography.
X. Descombes and F. Plouraboue and El Boustani Habdelhkim and Fonta Caroline and |LeDuc Geraldine and Serduc Raphael and Weitkamp Timm. In Internation Symposium of Biomedical Imaging (ISBI), Chicago, USA, April 2011.
Keywords : Segmentation, Markov random field, Tomography, Brain, vascular network.
Copyright : IEEE
3 - A markov random field model for extracting near-circular shapes.
T. Blaskovics and Z. Kato and I. H. Jermyn. In Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009.
Keywords : Segmentation, Markov Random Fields, Shape prior.
4 - Unsupervised One-Class SVM Using a Watershed Algorithm and Hysteresis Thresholding to Detect Burnt Areas.
O. Zammit and X. Descombes and J. Zerubia. In Proc. International Conference on Pattern Recognition and Image Analysis (PRIA), Nizhny Novgorod, Russia, September 2008.
Keywords : Classification, Segmentation, Support Vector Machines, Burnt areas, Forest fires, Satellite images.
Copyright :
5 - Unsupervised Hierarchical Image Segmentation based on the TS-MRF model and Fast Mean-Shift Clustering.
R. Gaetano and G. Scarpa and G. Poggi and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, August 2008.
Keywords : Segmentation, Markov Random Fields, Mean Shift, Land Classification.
6 - Indexing of mid-resolution satellite images with structural attributes.
A. Bhattacharya and M. Roux and H. Maitre and I. H. Jermyn and X. Descombes and J. Zerubia. In The International Society for Photogrammetry and Remote Sensing, Beijing, China, July 2008.
Keywords : Landscape, Segmentation, Features, Extraction, Classification, Modelling.
7 - Extraction of main and secondary roads in VHR images using a higher-order phase field model.
T. Peng and I. H. Jermyn and V. Prinet and J. Zerubia. In Proc. XXI ISPRS Congress, Part A, pages 215-22, Beijing, China, July 2008.
Keywords : Road network, Urban areas, Satellite images, Segmentation, Modelling, Variational methods.
Copyright : ISPRS
8 - Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery.
M. Rochery and I. H. Jermyn and J. Zerubia. In Proc. IEEE Workshop Variational, Geometric and Level Set Methods in Computer Vision, at ICCV, Nice, France, October 2003.
Keywords : Higher-order, Active contour, Shape, Road network, Segmentation, Prior.
9 - Unsupervised Image Segmentation via Markov Trees and Complex Wavelets.
C. Shaffrey and N. Kingsbury and I. H. Jermyn. In Proc. IEEE International Conference on Image Processing (ICIP), Rochester, USA, September 2002.
Keywords : Segmentation, Hidden Markov Model, Texture, Colour.
10 - Globally optimal regions and boundaries.
I. H. Jermyn and H. Ishikawa. In Proc. IEEE International Conference on Computer Vision (ICCV), 1999.
Keywords : global, optimum, Graph, Cycle, Ratio, Segmentation.
Copyright :

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7 Technical and Research Reports
1 - Hierarchical finite-state modeling for texture segmentation with application to forest classification.
G. Scarpa and M. Haindl and J. Zerubia. Research Report 6066, INRIA, INRIA, France, December 2006.
Keywords : Texture, Segmentation, Co-occurrence matrix, Structural approach, MCMC, Synthesis.
2 - Detecting Codimension-two Objects in an Image with Ginzburg-Landau Models.
G. Aubert and J.F. Aujol and L. Blanc-Féraud. Research Report 5254, INRIA, France, July 2004.
Keywords : Ginzburg-Landau model, Biological images, Segmentation, Partial differential equation.

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