Download or read book Contribution des mesures floues et d un modele markovien a la segmentation d images couleur written by Riadh Boussarsar and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book CONTRIBUTION DES MESURES FLOUES ET D UN MODELE MARKOVIEN A LA SEGMENTATION D IMAGES COULEUR written by RIADH.. BOUSSARSAR and published by . This book was released on 1997 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: LA SEGMENTATION D'IMAGE COULEUR CONSISTE A PARTAGER L'IMAGE EN DIFFERENTES REGIONS AYANT DES CARACTERISTIQUES HOMOGENES SELON CERTAINS CRITERES. LA BASE DE REPRESENTATION COULEUR UTILISEE EST LA BASE RGB AFIN DE NE PAS PERDRE L'INFORMATION COULEUR DE L'IMAGE. TENANT COMPTE DE LA CORRELATION DES DONNEES DES TROIS PLANS DE L'IMAGE DANS CETTE BASE, UNE SEGMENTATION GROSSIERE HYBRIDE SUIVIE D'UNE SEGMENTATION FINE SONT DEVELOPPEES. LA SEGMENTATION GROSSIERE EST UNE CLASSIFICATION ITERATIVE. ELLE UTILISE DES MESURES FLOUS TELLES QUE L'INDEX OU L'ENTROPIE FLOUE AFIN DE MINIMISER DE MANIERE OPTIMALE ET AUTO-ADAPTATIVE LES ZONES AMBIGUES DES HISTOGRAMMES R, G, B DE L'IMAGE, PERMETTANT L'EXTRACTION D'UNE CLASSE 3D, ET LA FORMATION GROSSIERE D'UNE REGION FORMEE PAR UN ENSEMBLE DE PIXELS CLASSES ET DE PIXELS MASQUES. LA SEGMENTATION FINE UTILISE LE NOMBRE DE CLASSES, LEUR CENTRE DE GRAVITE ET LA FONCTION D'APPARTENANCE DE L'ALGORITHME DES FUZZY C-MEANS AFIN DE CLASSER GLOBALEMENT LES PIXELS MASQUES. ETANT DONNE QU'IL EXISTE QUELQUES PIXELS MAL CLASSES, UNE APPROCHE MARKOVIENNE EST DEVELOPPEE POUR ELIMINER CES PIXELS ET RENDRE LES REGIONS HOMOGENES AVEC DES FRONTIERES LISSES. POUR FINIR UNE VERSION MODIFIEE DE LA SEGMENTATION EST INTEGREE DANS UNE STRUCTURE PYRAMIDALE AFIN DE DIMINUER LES TEMPS DE CALCULS.
Download or read book MODELE MARKOVIEN FLOU ET SEGMENTATION STATISTIQUE NON SUUPERVISEE D IMAGES written by FABIEN.. SALZENSTEIN and published by . This book was released on 1996 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: LA PREMIERE PARTIE DE CE MEMOIRE TRAITE DE LA COMPARAISON, EN SEGMENTATION STATISTIQUE NON SUPERVISEE D'IMAGES, DES METHODES LOCALES ET DES METHODES GLOBALES BASEES SUR L'HYPOTHESE DES CHAMPS OU DES CHAINES DE MARKOV. NOUS CHERCHONS UNE SOLUTION AUTOMATIQUE AU PROBLEME DU CHOIX DE LA METHODE LA MIEUX ADAPTEE AUX DONNEES EN PRESENCE, A PARTIR D'UN ENSEMBLE DE PARAMETRES CARACTERISANT L'IMAGE OBSERVEE: CORRELATION MOYENNE DU BRUIT, HOMOGENEITE, FORME DU BRUIT GAUSSIEN. L'ALGORITHME DE CHOIX EST VALIDE PAR DES SIMULATIONS EFFECTUEES SUR DES IMAGES DE SYNTHESE. POUR UN NOMBRE DE CLASSES DONNE, IL PARAIT POSSIBLE DE DEPARTAGER LES ALGORITHMES EN CONCURRENCE, LA FORME DU BRUIT EXERCANT PEU D'INFLUENCE SUR LA DECISION FINALE. UN DEUXIEME VOLET DE NOTRE ETUDE EST CONSACRE A LA SEGMENTATION STATISTIQUE GLOBALE NON SUPERVISEE, S'APPUYANT SUR UN RECENT MODELE DE CHAMPS DE MARKOV CACHES FLOUS, QUI PERMET D'INCLURE DANS UNE MEME IMAGE DES REGIONS DURES ET DES REGIONS FLOUES. L'ESTIMATEUR DES PARAMETRES DE LOIS COMBINE UNE PROCEDURE DU GRADIENT STOCHASTIQUE ET L'ALGORITHME ICE, ADAPTE AU CAS DE DONNEES INCOMPLETES. SELON LA QUANTITE DE FLOU PRESENTE DANS L'IMAGE VERITE-TERRAIN, UNE TELLE APPROCHE PRESENTE UN INTERET NON NEGLIGEABLE, ET OFFRE UN POTENTIEL SUPERIEUR A SON HOMOLOGUE DURE, BASE SUR LES CHAMPS DE MARKOV. CERTAINES IMAGES REELLES SE PRETENT BIEN AU CAS DE DEUX CLASSES THEMATIQUES, MAIS NOUS AVONS MONTRE LA POSSIBILITE D'EXTENSION DE CE MODELE A UN NOMBRE DE CLASSES QUELCONQUE
Download or read book Modele markovien pyramidal flou et segmentation statistique d images written by Lahlou Amoura and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Segmentation markovienne floue d images Application en d tection de changements entre images radar written by Cyril Carincotte and published by . This book was released on 2005 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse est consacrée à la segmentation non supervisée d'images de télédétection et la détection de changements entre images radar. Nous présentons tout d'abord un modèle de chaînes de Markov cachées d'ordre supérieur qui permet de modéliser des structures de bruit complexes comme des bruits corrélés. Afin de prendre en compte certaines caractéristiques floues des images de télédétection, nous proposons ensuite un modèle de chaînes de Markov cachées floues qui tient compte de façon conjointe des caractéristiques de bruit et de flou des observations. Cette modélisation autorise la coexistence de pixels durs et flous dans une même image, et permet de caractériser des dégradés bruités situés de part et d'autre de zones plus homogènes. Nous présentons finalement une méthodologie de détection de changements basée sur ce modèle, qui permet de caractériser l'imprécision associée aux changements survenus entre deux acquisitions radar.
Download or read book Synth se et segmentation markovienne d images sur la base d informations propres la texture written by Abdeljalil Sebbar and published by . This book was released on 1989 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: De nouveaux algorithmes de synthèse et de segmentation de textures et de segmentation d'images bruitées sont étudiés. L'approche bayésienne utilisant les champs aléatoires de Markov a été adaptée pour modéliser la texture. Pour la synthèse de texture un ensemble de paramètres composé de filtres adaptés et des variances des images filtrées correspondantes est extrait lors d'une phase d'apprentissage. Ces paramètres sont ensuite utilisés dans un modèle markovien pour la synthèse de texture. On a pu ainsi tester la pertinence du modèle et des paramètres choisis. Ces derniers ont donc ensuite été utilisés avec succès dans un algorithme de segmentation bayésienne d'images texturées. L'originalité de ces algorithmes est que l'étape d'estimation ne dépend pas du nombre de niveaux de gris de la texture. L'algorithme de synthèse ainsi présenté est limité à des textures homogènes ayant de 2 à 4 niveaux de gris, tandis que l'algorithme de segmentation a été appliqué à des textures homogènes à 256 niveaux de gris. Un autre algorithme de segmentation d'images bruitées est étudié. Le modèle utilisé est aussi markovien. De bons résultats ont été obtenus sur une image réelle.
Download or read book Quantum Mechanics Volume 3 written by Claude Cohen-Tannoudji and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, third volume of Cohen-Tannoudji's groundbreaking textbook covers advanced topics of quantum mechanics such as uncorrelated and correlated identical particles, the quantum theory of the electromagnetic field, absorption, emission and scattering of photons by atoms, and quantum entanglement. Written in a didactically unrivalled manner, the textbook explains the fundamental concepts in seven chapters which are elaborated in accompanying complements that provide more detailed discussions, examples and applications. * Completing the success story: the third and final volume of the quantum mechanics textbook written by 1997 Nobel laureate Claude Cohen-Tannoudji and his colleagues Bernard Diu and Franck Laloë * As easily comprehensible as possible: all steps of the physical background and its mathematical representation are spelled out explicitly * Comprehensive: in addition to the fundamentals themselves, the books comes with a wealth of elaborately explained examples and applications Claude Cohen-Tannoudji was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris where he also studied and received his PhD in 1962. In 1973 he became Professor of atomic and molecular physics at the Collège des France. His main research interests were optical pumping, quantum optics and atom-photon interactions. In 1997, Claude Cohen-Tannoudji, together with Steven Chu and William D. Phillips, was awarded the Nobel Prize in Physics for his research on laser cooling and trapping of neutral atoms. Bernard Diu was Professor at the Denis Diderot University (Paris VII). He was engaged in research at the Laboratory of Theoretical Physics and High Energy where his focus was on strong interactions physics and statistical mechanics. Franck Laloë was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris. His first assignment was with the University of Paris VI before he was appointed to the CNRS, the French National Research Center. His research was focused on optical pumping, statistical mechanics of quantum gases, musical acoustics and the foundations of quantum mechanics.
Download or read book Aggregation and Fusion of Imperfect Information written by Bernadette Bouchon-Meunier and published by Springer Science & Business Media. This book was released on 1997-11-18 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described.
Download or read book Local Approximation Techniques in Signal and Image Processing written by Vladimir I︠A︡kovlevich Katkovnik and published by SPIE-International Society for Optical Engineering. This book was released on 2006 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.
Download or read book Product Life Cycle Management written by Max Giordano and published by John Wiley & Sons. This book was released on 2012-12-17 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive view of the most recent major international research in the field of tolerancing, and is an excellent resource for anyone interested in Computer Aided Tolerating. It is organized into 4 parts. Part 1 focuses on the more general problems of tolerance analysis and synthesis, for tolerancing in mechanical design and manufacturing processes. Part 2 specifically highlights the simulation of assembly with defects, and the influence of tolerances on the quality of the assembly. Part 3 deals with measurement aspects, and quality control throughout the life cycle. Different measurement technologies and methods for estimating uncertainty are considered. In Part 4, different aspects of tolerancing and their interactions are explored, from the definition of functional requirement to measurement processes in a PLM approach.
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Download or read book CIKM 13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Download or read book Production of Juvenile Atlantic Salmon Salmo Salar in Natural Waters written by National Research Council Canada and published by NRC Research Press. This book was released on 1993 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date information, knowledge and research in progress in scientific fields related to natural production of juvenile Atlantic salmon and some other ecologically similar fluvial salmonids is contained in the 25 papers and 12 abstracts contained in this publication, which were prepared for an international symposium held in St. John's, Newfoundland. Studies relate to stream ecology, invertebrates and predators, habitat improvement, competitive effects, behaviour and dispersal, habitat and production of juvenile salmon, population dynamics and relationships of juvenile salmon estimates to smolt yields. A list of participants at the conference is also provided.
Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Download or read book Xenakis written by James Harley and published by Routledge. This book was released on 2004-08-02 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Xenakis: His Life in Music is a full-length study of the influential contemporary composer Iannis Xenakis. Following the trajectory of Xenakis’s compositional development, James Harley, who studied with Xenakis, presents the works together with clear explanations of the technical and conceptual innovations that shaped them. Harley examines the relationship between the composer and two early influences: Messiaen and Le Corbusier. Particular attention is paid to analyzing works which were vital to the composer’s creative development, from early, unpublished works to the breakthrough pieces Metastasis and Pithoprakta, through the oft-discussed decade of formalization and the evolving styles of the succeeding three decades.
