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Tanacs A, Majdik A, Hajder L, Molnar J, Santa Z, Kato Z. Collaborative Mobile 3D Reconstruction of Urban Scenes. In: Chen C-S, Kankanhall M, Lai S-H, Hwee J, editors. Proceedings of the ACCV Workshop on Intelligent Mobile and Egocentric Vision (ACCV-IMEV), Lecture Notes in Computer Science. Singapore: Springer; 2015. 1. p. 1-16p. \par \par Tanacs A, Lindbald J, Sladoje N, Kato Z. Estimation of linear deformations of 2D and 3D fuzzy objects. PATTERN RECOGNITION. 2015;48(4):1387-1399.\par \par Domokos C, Kato Z. Realigning 2D and 3D Object Fragments without Correspondences. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 2015;pp(99):1.\par \par Molnar J, Frohlich R, Dmitrij C, Kato Z. 3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras. In: Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SLam, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Wollongong, Australia: IEEE; 2014. 1. p. 1-8p. \par \par Molnar J, Huang R, Kato Z. 3D Reconstruction of Planar Surface Patches: A Direct Solution. In: Zhang J, Bennamoun M, Porikli F, editors. Proceedings of the ACCV Workshop on Big Data in 3D Computer Vision (ACCV-BigData3DCV). Singapore, Szingap\'far: Springer; 2014. 1. p. 1-8p. .\par \par Santa Z, Kato Z. Affine Alignment of Occluded Shapes. In: Felsberg M, editor. International Conference on Pattern Recognition (ICPR). Stockholm, Sv\'e9dorsz\'e1g: IEEE; 2014. 2. p. 2155-2160p. \par \par Tanacs A, Majdik A, Molnar J, Rai A, Kato Z. Establishing Correspondences between Planar Image Patches. In: Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SLam, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Wollongong, Australia: IEEE; 2014. 1. p. 1-7p. \par \par Bal\'e1zs P, Katona E, Kato Z, Nagy A, N\'e9meth G, Ny\'fal LG, et al. K\'e9pfeldolgoz\'e1s a szegedi informatikus-k\'e9pz\'e9sben. In: Kunkli R, Papp I, Rutkovszky E, editors. Informatika a fels?oktat\'e1sban 2014. Debrecen, Hungary: University of Debrecen; 2014. 6. p. 667-675p. \par \par Tanacs A, Lindblad J, Sladoje N, Kato Z. 2D \'e9s 3D bin\'e1ris objektumok line\'e1ris deform\'e1ci\'f3-becsl\'e9s\'e9nek numerikus megold\'e1si lehet?s\'e9gei. In: Cz\'fani L, editor. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2013. Veszpr\'e9m: NJSZT-K\'c9PAF; 2013. 5. p. 526-541p. \par \par Santa Z, Kato Z. Correspondence-less non-rigid registration of triangular surface meshes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Portland, OR, USA: IEEE; 2013. 2. p. 2275-2282p. \par \par Santa Z, Kato Z. Elastic Registration of 3D Deformable Objects. In: West G, K\'f6vesi P, editors. Proceedings of International Conference on Digital Image Computing: Techniques and Applications (DICTA). New York: IEEE; 2013. 1. p. 1-7p. \par \par Juh\'e1sz E, Tanacs A, Kato Z. Evaluation of Point Matching Methods for Wide-baseline Stereo Correspondence on Mobile Platforms. In: Ramponi G, Lon?ari? S, Carini A, Egiazarian K, editors. Proceedings of the International Symposium on Image and Signal Processing and Analysis (ISPA). Trieste: IEEE; 2013. 8. p. 806-811p. \par \par Kato Z. Linear and nonlinear shape alignment without correspondences. In: Richard P, Csurka G, editors. Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers). Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2013. 3. p. 3-17p.  (Communications in Computer and Information Science).\par \par Santa Z, Kato Z. Pose Estimation of Ad-hoc Mobile Camera Networks. In: de Souza P, Engelke U, Rahman A, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Hobart, TAS : IEEE; 2013. 8. p. 88-95p. \par \par Levente T, Kato Z. Targetless Calibration of a Lidar - Perspective Camera Pair. In: Zhang J, Bennamoun M, Schonfeld D, Zhang Z, editors. Proceedings of ICCV Workshop on Big Data in 3D Computer Vision. Sydney, NSW : IEEE; 2013. 6. p. 668-675p. \par \par Kato Z. A unifying framework for correspondence-less shape alignment and its medical applications. In:  Intelligent Interactive Technologies and Multimedia . Vol 276 CCIS. Allahabad, India: Springer; 2013. 4. p. 40-52p.  (Communications in Computer and Information Science; vol 276 CCIS).\par \par Affine Registration of 3D Objects.; 2012.\par \par Kato Z, Zerubia J. Markov random fields in image segmentation. Hanover, NH: Now Publishers; 2012.\par \par Molnar C, Kato Z, Jermyn I. A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 1. p. 1427-1430p. \par \par Domokos C, Nemeth J, Kato Z. Nonlinear Shape Registration without Correspondences. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 2012;34(5):943-958.\par \par Qazi I-, Alata O, Kato Z. Parametric Stochastic Modeling for Color Image Segmentation and Texture Characterization. In: Fernandez-Maloigne C, editor. Advanced color image processing and analysis. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer; 2012. 2. p. 279-325p. \par \par Domokos C, Kato Z. Simultaneous Affine Registration of Multiple Shapes. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 9. p. 9-12p. \par \par Mitra J, Kato Z, Ghose S, Sidibe D, Mart\'ed R, Llad\'f3 X, et al. Spectral clustering to model deformations for fast multimodal prostate registration. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 2. p. 2622-2625p. \par \par Mitra J, Kato Z, Mart\'ed R, Arnau O, Llad\'f3 X, Sidibe D, et al. A spline-based non-linear diffeomorphism for multimodal prostate registration. MEDICAL IMAGE ANALYSIS. 2012;16(6):1259-1279.\par \par Kato Z. A Unifying Framework for Correspondence-less Linear Shape Alignment. In: Campilho A, editor. International Conference on Image Analysis and Recognition (ICIAR). Aveiro, Portugal: Springer Verlag; 2012. 2. p. 277-284p.  (Lecture Notes in Computer Science).\par \par Santa Z, Kato Z. A Unifying Framework for Non-linear Registration of 3D Objects. In: IEEE International Conference on Cognitive Infocommunications (CogInfoCom). Kosice, Slovakia : IEEE; 2012. 5. p. 547-552p. \par \par Tanacs A, Lindblad J, Sladoje N, Kato Z. 3D objektumok line\'e1ris deform\'e1ci\'f3inak becsl\'e9se. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 4. p. 471-480p. \par \par Domokos C, Kato Z. Affin Puzzle: Deform\'e1lt objektumdarabok helyre\'e1ll\'edt\'e1sa megfeleltet\'e9sek n\'e9lk\'fcl. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 2. p. 206-220p. \par \par Bin\'e1ris tomogr\'e1fiai rekonstrukci\'f3 objektum alap\'fa evol\'faci\'f3s algoritmussal. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 1. p. 117-127p. \par \par Lesko M, Kato Z, Nagy A, Gombos I, T\'f6r\'f6k Z, V\'edgh L, et al. \'c9l?sejt szegment\'e1l\'e1sa gr\'e1fv\'e1g\'e1s seg\'edts\'e9g\'e9vel fluoreszcenci\'e1s mikroszk\'f3p k\'e9peken. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 3. p. 319-328p. \par \par Tanacs A, Kato Z. Fast linear registration of 3D objects segmented from medical images. In: Ding Y, Peng Y, Shi R, Hao K, Wang L, editors. Biomedical Engineering and Informatics (BMEI). Shanghai: IEEE; 2011. 2. p. 294-298p. \par \par Kardos P, N\'e9meth G, Pal\'e1gyi K. Iter\'e1ci\'f3nk\'e9nti sim\'edt\'e1ssal kombin\'e1lt v\'e9kony\'edt\'e1s. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 1. p. 174-189p. \par \par Hantos N, Bal\'e1zs P. Medi\'e1nsz?r\'e9s alkalmaz\'e1sa algebrai rekonstrukci\'f3s m\'f3dszerekben. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 1. p. 106-116p. \par \par A Multi-Layer 'Gas of Circles' Markov Random Field Model for the Extraction of Overlapping Near-Circular Objects. In: Advances Concepts for Intelligent Vision Systems (ACIVS). Ghent, Belgium: Springer-Verlag; 2011. 1. p. 171-182p.  (Lecture Notes in Computer Science).\par \par Mitra J, Kato Z, Mart\'ed R, Arnau O, Llad\'f3 X, Ghose S, et al. A non-linear diffeomorphic framework for prostate multimodal registration. In: International Conference on Digital Image Computing: Techniques and Applications (DICTA). Noosa, QLD : IEEE; 2011. 3. p. 31-36p. \par \par T\'f6r\'f6k Z, Domokos C, Nemeth J, Kato Z. Nonlinear Shape Registration without Correspondences.; 2011.\par \par Kato Z, Cz\'fani L. Sz\'e1m\'edt\'f3g\'e9pes l\'e1t\'e1s. Budapest: Typotex Kiad\'f3; 2011.\par \par N\'e9meth G, Kardos P, Pal\'e1gyi K. A topol\'f3gia-meg?rz\'e9s elegend? felt\'e9telein alapul\'f3 3D p\'e1rhuzamos v\'e9kony\'edt\'f3 algoritmusok. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 1. p. 190-205p. \par \par Varga L, Bal\'e1zs P, Nagy A. Vet\'fcleti ir\'e1nyf\'fcgg?s\'e9g a bin\'e1ris tomogr\'e1fi\'e1ban. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 9. p. 92-105p. \par \par Domokos C, Kato Z. Affine puzzle: Realigning deformed object fragments without correspondences. In: Daniilidis K, Maragos P, Paragios N, editors. European Conference on Computer Vision (ECCV). Crete, Greece: Springer; 2010. 7. p. 777-790p.  (Lecture Notes in Computer Science).\par \par Tanacs A, Lindblad J, Sladoje N, Kato Z. Estimation of linear deformations of 3D objects. In: IEEE International Conference on Image Processing (ICIP). Hong Kong, Hong Kong: IEEE; 2010. 1. p. 153-156p. \par \par Lesko M, Kato Z, Nagy A, Gombos I, T\'f6r\'f6k Z, V\'edgh L, et al. Live cell segmentation in fluorescence microscopy via graph cut. In: Ercil A, editor. 20th international conference on pattern recognition (ICPR 2010). Istanbul, Turkey: IEEE; 2010. 1. p. 1485-1488p. \par \par Domokos C, Kato Z. Parametric estimation of affine deformations of planar shapes. PATTERN RECOGNITION. 2010;43(3):569-578.\par \par Dipanda A, Kato Z. SITIS 2010: Track SIT editorial message: Signal and Image Technologies. In: Dipanda A, Chbeir R, Yetongnon K, editors. Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010. Kuala Lumpur: IEEE Computer Society Press; 2010. X. XV.\par \par Domokos C, Kato Z. Affine alignment of compound objects: A direct approach. In: 16th IEEE International Conference on Image Processing (ICIP), 2009. Cairo, Egypt: IEEE; 2009. 1. p. 169-172p. \par \par Katona Z, Domokos C, Kato Z. Affine Registration of Planar Shapes.; 2009.\par \par Benedek C, Sziranyi T, Kato Z, Zerubia J. Detection of Object Motion Regions in Aerial Image Pairs with a Multilayer Markovian Model. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2009;18(10):2303-2315.\par \par Horvath P, Jermyn I, Kato Z, Zerubia J. A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction. PATTERN RECOGNITION. 2009;42(5):699-709.\par \par K\'f6r alak\'fa objektumok szegment\'e1l\'e1sa Markov mez? seg\'edts\'e9g\'e9vel. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2009. Budapest: Akaprint; 2009. 1. p. 1-9p. \par \par Blaskovics T, Kato Z, Jermyn I. A Markov random field model for extracting near-circular shapes. In: 16th IEEE International Conference on Image Processing (ICIP). Cairo, Egypt: IEEE; 2009. 1. p. 1073-1076p. \par \par Nemeth J, Domokos C, Kato Z. Nonlinear registration of binary shapes. In: 16th IEEE International Conference on Image Processing (ICIP). Cairo, Egypt: IEEE; 2009. 1. p. 1101-1104p. \par \par Tanacs A, Domokos C, Sladoje N, Lindblad J, Kato Z. Recovering affine deformations of fuzzy shapes. In: Salberg A-B, Hardeberg JYngve, Jenssen R, editors. Image Analysis. Oslo, Norway: Springer-Verlag; 2009. 7. p. 735-744p.  (Lecture Notes in Computer Science).\par \par Recovering planar homographies between 2D shapes. In: 12th International Conference on Computer Vision, ICCV 2009. IEEE; 2009. 2. p. 2170-2176p. \par \par S\'edkbeli alakzatok regisztr\'e1ci\'f3ja kovari\'e1ns f\'fcggv\'e9nyek felhaszn\'e1l\'e1s\'e1val. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2009. Budapest: Akaprint; 2009. 1. p. 1-8p. \par \par S\'edkhomogr\'e1fia param\'e9tereinek becsl\'e9se bin\'e1ris k\'e9peken. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2009. Budapest: Akaprint; 2009. 1. p. 1-8p. \par \par Gara M, Kato Z. Supervised Color Image Segmentation in a Markovian Framework.; 2009.\par \par Domokos C, Kato Z. Binary image registration using covariant gaussian densities. In: Campilho A, editor. Image Analysis and Recognition. P\'f3voa de Varzim, Portugal: Springer; 2008. 4. p. 455-464p.  (Lecture Notes in Computer Science).\par \par A k\'e9pfeldolgoz\'e1s kutat\'e1sa a Szegedi Tudom\'e1nyegyetemen. In: Informatika a fels?oktat\'e1sban 2008. Debrecen: Debreceni Egyetem Informatikai Kar; 2008. \par \par Domokos C, Kato Z, Francos J. Parametric estimation of affine deformations of binary images. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Las Vegas, NV, USA: IEEE; 2008. 8. p. 889-892p. \par \par Kato Z. Segmentation of color images via reversible jump MCMC sampling. IMAGE AND VISION COMPUTING. 2008;26(3):361-371.\par \par K\'f6r alak\'fa objektumok szegment\'e1l\'e1sa magasabb rend? akt\'edv kont\'far modellek seg\'edts\'e9g\'e9vel. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2007. Debrecen: K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1ga; 2007. 1. p. 133-140p. \par \par Kato Z. Markovian Image Models and their Application in Image Segmentation.; 2007.\par \par Parametric Estimation of Two-Dimensional Affine Transformations of Binary Images. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2007. Debrecen: K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1ga; 2007. 2. p. 257-265p. \par \par Benedek C, Sziranyi T, Kato Z, Zerubia J. A Three-layer MRF model for Object Motion Detection in Airborne Images.; 2007.\par \par A higher-order active contour model for tree detection. In: Proceedings of the18th International Conference on Pattern Recognition, ICPR 2006. IEEE; 2006. 1. p. 130-133p. \par \par Horvath P, Jermyn I, Kato Z, Zerubia J. A Higher-Order Active Contour Model for Tree Detection. In: Proceedings of the International Conference on Pattern Recognition (ICPR). Vol 2. Hong Kong, China: IAPR; 2006. 1. p. 130-133p. \par \par A Higher-Order Active Contour Model of a `Gas of Circles' and its Application to Tree Crown Extraction.; 2006.\par \par An Improved `Gas of Circles' Higher-Order Active Contour Model and its Application to Tree Crown Extraction. In: Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP). Berlin; Heidelberg; New York: Springer Verlag; 2006. 1. p. 152-161p. \par \par A Markov random field image segmentation model for color textured images. IMAGE AND VISION COMPUTING. 2006;24(10):1103-1114.\par \par A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs. In: Proceedings - 14th International Conference on Image Processing, ICIP 2007. Piscataway: IEEE; 2006. V. VI-p. 141-p.  VI-144.\par \par A multi-layer MRF model for video object segmentation. In: COMPUTER VISION - ACCV 2006, PT II. Springer Verlag; 2006. 9. p. 953-962p. \par \par Shape Moments for Region Based Active Contours. In: Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (K\'c9PAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 187-194p. \par \par Supervised Image Segmentation Using Markov Random Fields.; 2005.\par \par Video Object Segmentation Using a Multicue Markovian Model. In: Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (K\'c9PAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 111-118p. \par \par Color, Texture and Motion Segmentation Using Gradient Vector Flow. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2004. Miskolctapolca; 2004. 1. p. 131-137p. \par \par Color textured image segmentation using a multi-layer Markovian model. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2004. Miskolctapolca; 2004. 1. p. 152-158p. \par \par Optical Flow Computation Using an Energy Minimization Approach. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2004. Miskolctapolca; 2004. 1. p. 125-130p. \par \par Reversible Jump Markov Chain Monte Carlo for Unsupervised MRF Color Image SegmentationProceedings of Brithish Machine Vision Conference (BMVC). BMVA; 2004. 3. p. 37-46p. \par \par Reversible Jump Markov Chain Monte Carlo for Unsupervised MRF Color Image Segmentation. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2004. Miskolctapolca; 2004. 1. p. 144-151p. \par \par Sz\'e1m\'edt\'f3g\'e9pes k\'e9pfeldolgoz\'e1s oktat\'e1sa a Szegedi Tudom\'e1nyegyetemen. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2004. Miskolc: Neumann J\'e1nos Sz\'e1m\'edt\'f3g\'e9p-tudom\'e1nyi T\'e1rsas\'e1g; 2004. 1. p. 191-196p. \par \par Non-Photorealistic Rendering and Content-Based Image Retrieval. In: Proceedings of 11th Pacific Conference on Computer Graphics and Applications (PG). New York: IEEE Computer Soc. Pr.; 2003. 1. p. 153-162p. \par \par Unsupervised segmentation of color textured images using a multi-layer MRF model. In: ICIP 2003: IEEE International Conference on Image Processing. IEEE; 2003. 9. p. 961-964p. \par \par Content-based image retrieval using stochastic paintbrush transformation. In: IEEE - International Conference on Image Processing: ICIP. Aix-en-Provence: IEEE Computer Society Press; 2002. 9. p. 944-947p. \par \par Markov random fields in image processing application to remote sensing and astrophysics. JOURNAL DE PHYSIQUE IV. 2002;12(1):117-136.\par \par Multicue MRF image segmentation: Combining texture and color features. In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002). IEEE Computer Society; 2002. 6. p. 660-663p. \par \par Color image segmentation and parameter estimation in a markovian framework. PATTERN RECOGNITION LETTERS. 2001;22(3-4):309-321.\par \par A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features. In: Proceedings of International Conference on Computer Analysis of Images and Patterns (CAIP). Berlin; Heidelberg: Springer Verlag; 2001. 5. p. 547-554p. \par \par Image segmentation using Markov random field model in fully parallel cellular network architectures. REAL-TIME IMAGING. 2000;6(3):195-211.\par \par Bayesian Color Image Segmentation Using Reversible Jump Markov Chain Monte Carlo.; 1999.\par \par Kato Z. Bayesian Color Image Segmentation Using Reversible Jump Markov Chain Monte Carlo. Amsterdam, The Netherlands: ERCIM/CWI; 1999.\par \par Unsupervised parallel image classification using Markovian models. PATTERN RECOGNITION. 1999;32(4):591-604.\par \par Motion Compensated Color Video Classification Using Markov Random Fields. In: Proceedings of Asian Conference on Computer Vision (ACCV). Berlin; Heidelberg: Springer Verlag; 1998. 7. p. 738-745p. \par \par Color Image Classification and Parameter Estimation in a Markovian FrameworkProceedings of Workshop on 3D Computer Vision.; 1997. 7. p. 75-79p. \par \par Image segmentation using Markov random field model in fully parallel cellular network architectures..; 1997.\par \par Markov Random Field Image Segmentation using Cellular Neural Network.; 1997.\par \par Motion Compensated Color Image Classification and Parameter Estimation in a Markovian Framework.; 1997.\par \par MRF based image segmentation with fully parallel cellular nonlinear networks. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 1997. Keszthely: Pannon Agr\'e1rtudom\'e1nyi Egyetem Georgikon Mez?gazdas\'e1gtudom\'e1nyi Kar; 1997. 4. p. 43-50p. \par \par Bayesian image classification using Markov random fields. IMAGE AND VISION COMPUTING. 1996;14(4):285-295.\par \par Cellular Neural Network in Markov Random Field Image Segmentation. In: 1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96). New York: Wiley - IEEE Press; 1996. 1. p. 139-144p. \par \par A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification. GRAPHICAL MODELS AND IMAGE PROCESSING. 1996;58(1):18-37.\par \par DPA: a deterministic approach to the MAP problem. IEEE TRANSACTIONS ON IMAGE PROCESSING. 1995;4(9):1312-1314.\par \par Unsupervised adaptive image segmentation. In: ICASSP-95. Piscataway: IEEE; 1995. 2. p. 2399-2402p. \par \par Unsupervised parallel image classification using a hierarchical Markovian model. In: Proceedings of the 5th International Conference on Computer Vision. Piscataway: IEEE; 1995. 1. p. 169-174p. \par \par Multi-scale Markovian Modelisation in Computer Vision with Applications to SPOT Image Segmentation : Mod\'e9lisations markoviennes multir\'e9solutions en vision par ordinateur. Application ? la segmentation d'images SPOT.; 1994.\par \par Multi-Temperature Annealing: A New Approach for the Energy-Minimization of Hierarchical Markov Random Field Models. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition. Los Alamitos: IEEE; 1994. 5. p. 520-522p. \par \par Segmentation hi\'e9rarchique d'images sur CM200 (Hierarchical Image Segmentation on the CM200).; 1994.\par \par Segmentation multir\'e9solution d'images sur SUN version 1 du 26.05.1994 (Multiresolution Image Segmentation on SUN version 1 of 26.05.1994).; 1994.\par \par Bayesian Image Classification Using Markov Random Fields. In: Maximum Entropy and Bayesian Methods. Dordrecht; Boston; London: Kluwer Academic Publishers; 1993. 3. p. 375-382p. \par \par Extraction d'information dans les images SPOT.; 1993.\par \par A Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image Classification.; 1993.\par \par A Hierarchical Markov Random Field Model for Image Classification. In: International Workshop on Image and Multidimensional Digital Signal Processing (IMDSP). IEEE Computer Soc. Pr.; 1993. \par \par Multiscale Markov random field models for parallel image classification. In: Fourth International Conference on Computer Vision, ICCV 1993, Berlin, Germany, 11-14 May, 1993, Proceedings. Los Alamitos: IEEE; 1993. 2. p. 253-257p. \par \par Parallel image classification using multiscale Markov random fields. In: ICASSP-93. New York: IEEE; 1993. 1. p. 137-140p. \par \par Image Classification Using Markov Random Fields with Two New Relaxation Methods.; 1992.\par \par Satellite Image Classification Using a Modified Metropolis Dynamics. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Computer Soc. Pr.; 1992. 5. p. 573-576p. \par \par }