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 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 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 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 SEGMENTATION STATISTIQUE FLOUE D IMAGES written by HELENE.. CAILLOL and published by . This book was released on 1995 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: CETTE THESE EST CONSACREE A LA SEGMENTATION STATISTIQUE FLOUE D'IMAGES. DANS LE CADRE DE LA SEGMENTATION BAYESIENNE, UNE IMAGE EST MODELISEE PAR DEUX CHAMPS ALEATOIRES: LE CHAMP DES CLASSES REPRESENTANT LA VERITE-TERRAIN INOBSERVABLE ET QUE L'ON CHERCHE A ESTIMER ET LE CHAMP DES OBSERVATIONS. LE CHAMP DES CLASSES EST GENERALEMENT SUPPOSE PRENDRE SES VALEURS DANS UN ENSEMBLE FINI DES CLASSES THEMATIQUES. LE MODELE PROPOSE DANS CETTE THESE VISE A ENRICHIR CE MODELE CLASSIQUE: CHAQUE SITE DE LA VERITE-TERRAIN PEUT SOIT APPARTENIR A L'UNE DES CLASSES THEMATIQUES, SOIT RESULTER D'UN MELANGE DE CES CLASSES. DANS CE DERNIER CAS, LA NATURE DU SITE EST DECRITE PAR LE VECTEUR DES COEFFICIENTS D'APPARTENANCE DU SITE A CHACUNE DES CLASSES. LA MODELISATION STATISTIQUE S'APPUIE SUR UNE MESURE CONTENANT DES MASSES DE DIRAC CHARGEANT LES CLASSES THEMATIQUES ET LA MESURE DE LEBESGUE PAR RAPPORT A LAQUELLE EST DEFINIE LA DENSITE DES VECTEURS D'APPARTENANCE DANS LE CAS D'UN SITE MELANGE. UNE PREMIERE PARTIE EST CONSACREE A LA SEGMENTATION PROPREMENT DITE. D'UNE PART, PLUSIEURS METHODES BAYESIENNES SONT PROPOSEES, DEDUITES DE DIFFERENTES FONCTIONS DE PERTE. DE PLUS, DEUX METHODES DE SEGMENTATION EST DEVELOPPEE DANS TROIS VERSIONS, CORRESPONDANT A DIFFERENTES MANIERE D'EXPLOITER L'INFORMATION SPATIALE: LA SEGMENTATION AVEUGLE, CONTEXTUELLE ET ADAPTATIVE. AFIN DE PROPOSER DES ALGORITHMES DE SEGMENTATION NON SUPERVISEE, TROIS PROCEDURES D'ESTIMATION DES PARAMETRES NECESSAIRES A LA MISE EN UVRE DE LA SEGMENTATION SONT ADAPTEES A CE MODELE: EXPECTATION- MAXIMISATION, STOCHASTIC ESTIMATION MAXIMISATION ET ITERATIVE CONDITIONAL ESTIMATION. ENFIN, LES METHODES NON SUPERVISEES DE SEGMENTATION STATISTIQUES FLOUES PROPOSEES SONT TESTEES SUR DES IMAGES REELLES ET DE SIMULATION

Download or read book Segmentation statistique et fusion d images satellitaires par la th orie de l vidence dans un contexte markovien written by Ahmed Rekik and published by . This book was released on 2008 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le travail réalisé dans le cadre de cette thèse, porte sur la segmentation statistique non supervisée des images satellitaires dans un contexte Markovien, et leur fusion à travers la théorie de l’évidence. En effet, nous avons développée dans ce travail une nouvelle approche de segmentation statistique optimale, à travers l’intégration et l’apport de plusieurs algorithmes, notamment au niveau de l’initialisation, en exploitant tout d’abord la méthode des centres mobiles (Kmeans) pour une meilleure définition des classes de l’image, ensuite nous avons voulu régulariser et uniformiser ces classes à travers les champs de Markov qui permettaient une prise en compte de la notion de voisinage dans la phase de classification. Au niveau de la modélisation des différentes classes de l’image, nous avons opté pour les distributions du système de Pearson pour leur flexibilité et leur adaptation en offrant une gamme de lois diverses et précises. Enfin en ce qui concerne l’estimation des différents attributs de chaque classe de l’image, nous avons utilisé les algorithmes EM et SEM. Dans le but d’optimiser davantage ce travail, nous avons intégré dans notre approche une phase de fusion d’images segmentées basée sur la théorie de l’évidence, qui permettait une meilleure prise de décision au niveau de l’étape de segmentation, en exploitant la richesse des données présentes dans les images multispectrales et multi-temporelles.

Download or read book MODELISATIONS MARKOVIENNES MULTIRESOLUTIONS EN VISION PAR ORDINATEUR APPLICATION A LA SEGMENTATION D IMAGES SPOT written by JOZSEF ZOLTAN.. KATO and published by . This book was released on 1994 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: DANS CETTE THESE, NOUS NOUS INTERESSONS AUX MODELES MARKOVIENS APPLIQUES AUX PROBLEMES DE VISION PRE-ATTENTIVE. NOUS CONSIDERONS CES PROBLEMES DANS UN CADRE GENERAL, APPELE ETIQUETAGE D'IMAGE, OU LE PROBLEME CONSISTE A ATTRIBUER DES ETIQUETTES AUX PIXELS. NOTRE APPROCHE EST FONDEE SUR LES CHAMPS DE MARKOV ET L'ESTIMATION BAYESIENNE, EN PARTICULIER L'ESTIMATION DE MAXIMUM A POSTERIORI (MAP). L'AVANTAGE DE LA MODELISATION MARKOVIENNE EST DE FOURNIR UN MODELE SIMPLE QUI NOUS PERMET DE DEFINIR LES INFORMATIONS A PRIORI PAR DES POTENTIELS LOCAUX. NOUS PRESENTONS AUSSI LES MODELES PYRAMIDAUX QUI REDUISENT LE TEMPS DE CALCUL ET AMELIORENT LE RESULTAT FINAL. L'ESTIMATION DES PARAMETRES EST UN AUTRE PROBLEME IMPORTANT POUR LES APPLICATIONS REELLES. NOUS APPLIQUONS QUELQUES METHODES CONNUES A L'ESTIMATION DE PARAMETRES DU MODELE MONOGRILLE ET PROPOSONS DES NOUVEAUX ALGORITHMS D'ESTIMATION POUR LE MODELE HIERARCHIQUE. LES PREMIERS RESULTATS SONT SATISFAISANTES MAIS IL RESTE BEAUCOUP DE TRAVAIL A FAIRE SUR LE SUJET. TOUS LES MODELES MARKOVIENS NECESSITENT LA MINIMISATION D'UNE FONCTION D'ENERGIE NON-CONVEXE. NOUS AVONS DEUX CHOIX POUR RESOUDRE CE PROBLEME: SOIT PAR RECUIT SIMULE SOIT PAR RELAXATION DETERMINISTE. NOUS DISCUTONS LA POSSIBILITE DE PARALLELISER CES ALGORITHMES. NOTRE PRINCIPAL RESULTAT EST UN MODELE MARKOVIEN HIERARCHIQUE ET UN ALGORITHME DE RECUIT MULTI-TEMPERATURE (MTA) POUR LA MINIMISATION DE LA FONCTION D'ENERGIE DU MODELE HIERARCHIQUE. POUR LE MTA, NOUS AVONS PROUVE LA CONVERGENCE VERS UN MINIMUM GLOBAL DANS LE CAS LE PLUS GENERAL OU CHAQUE CLIQUE A SA PROPRE LOI DE TEMPERATURE. IL RESTE QUELQUES PROBLEMES OUVERTS COMME LA RELATION ENTRE LES VALEURS ESTIMEES AU SENS DU MAP POUR LES MODELES MONOGRILLE ET HIERARCHIQUE, L'IMPLANTATION DE L'ALGORITHME MTA SUR UNE ARCHITECTURE PYRAMIDALE OU BIEN LA MISE EN UVRE UNE METHODE BEAUCOUP PLUS RAPIDE POUR L'ESTIMATION DE PARAMETRES

Download or read book Semantic and Lexical Universals written by Cliff Goddard and published by John Benjamins Publishing. This book was released on 1994-01-01 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of papers represents a unique collection; it is the first attempt ever to empirically test a hypothetical set of semantic and lexical universals across a number of genetically and typologically diverse languages. In fact the word 'collection' is not fully appropriate in this case, since the papers report research undertaken specifically for the present volume, and shaped by the same guidelines. They constitute parallel and strictly comparable answers to the same set of questions, coordinated effort with a common aim, and a common methodology.The goal of identifying the universal human concepts found in all languages, is of fundamental importance, both from a theoretical and a practical point of view, since these concepts provide the basis of the psychic unity of mankind, underlying the clearly visible diversity of human cultures. They also allow us to better understand that diversity itself, because they provide a common measure, without which no precise and meaningful comparisons are possible at all. A set of truly universal (or even near-universal) concepts can provide us with an invaluable tool for interpreting, and explaining all the culture-specific meanings encoded in the language-and-culture systems of the world. It can also provide us with a tool for explaining meanings across cultures in education, business, trade, international relations, and so on.The book contains 13 chapters on individual languages including Japanese (by Masayuki Onishi), Chinese (by Hilary Chappel), Thai (by Anthony Diller), Ewe (Africa, by Felix Ameka), Miskitu languages of South America (by Kenneth Hall), Australian Aboriginal languages Aranda, Yankunytjatjara and Kayardild (by Jean Harkins & David Wilkins, Cliff Goddard, and Nicholas Evans), the Austronesian languages Samoan, Longgu, Acehnese and Mangap-Mbula (by Ulrike Mosel, Deborah Hill, Mark Durie and Robert Bugenhagen), the Papuan language Kalam (by Andrew Pawley), and, last but not least French (by Bert Peters).In addition to the chapters on individual languages the book includes three theoretical chapters; Semantic theory and semantic universals (by Goddard), Introducing lexical primitives (by Goddard and Wierzbicka), and Semantic primitives across languages: a critical review (by Wierzbicka).

Download or read book Action Research in Organizations written by Ass. Prof. em. Ph.D. Marianne Kristiansen and published by Verlag Barbara Budrich. This book was released on 2020-12-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wie vollzieht sich Wandel in Organisationen? Was bedeutet Zusammenarbeit in einem Unternehmen? Was können wir aus Erfahrungen lernen? Das Buch untersucht organisationale Veränderungsprozesse auf Basis von Kooperationserfahrungen zwischen Arbeitgeber*innen, Arbeitnehmer*innen und Aktionsforscher*innen in Europa und den USA in der zweiten Hälfte des 20. Jahrhunderts. Die Autor*innen identifizieren zentrale Akteure und Impulsgeber von Veränderung, zeichnen Machtverhältnisse nach und weisen auf mögliche Dilemmata hin. Dabei entwickeln sie zentrale Erkenntnisse über Prozesse der Partizipation und Veränderung in Organisationen, von denen Forschung und Praxis gleichermaßen profitieren können.

Download or read book Connected Objects in Health written by Laure Beyala and published by Elsevier. This book was released on 2017-08-10 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connected objects today present a range of opportunities in medicine. We live in a new digital era where the monitoring and analysis of one's own health information no longer belongs solely to the realm of science fiction. The success of these new devices resides in their usage, which integrates seamlessly into the daily life of the user in order to continually collect the maximum amount of data. These medical connected devices therefore constitute a new hope in transforming user experience as well as the care pathway. They offer a better level of support and a better quality of life for those suffering from chronic illnesses or mental, sensorial or physical disabilities. However, these solutions also pose systematic problems, especially regarding the risks linked to their usage. This book presents a cartography which clearly details all the potential risk scenarios linked to the usage of connected devices as well as the actions which should be undertaken to promote balanced governance and guarantee the development of high-quality medical devices. - Aims to help the reader understand the difference between a connected object and a medical connected device - Identifies and evaluates all the potential risks and perspectives associated with the use of connected medical devices - Shows how to make a comprehensive risk analysis with standards like ISO 31000 and 14971

Download or read book Quantitative Social Science written by Scott, Jacqueline L. Scott and published by . This book was released on 2012 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Inverse Problems in Vision and 3D Tomography written by Ali Mohamad-Djafari and published by John Wiley & Sons. This book was released on 2013-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked to these unobserved quantities by a known physical or mathematical relationship. In this manner techniques such as image enhancement or addition of hidden detail can be delivered. This book focuses on imaging and vision problems that can be clearly described in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought. The book uses a consistent methodology to examine inverse problems such as: noise removal; restoration by deconvolution; 2D or 3D reconstruction in X-ray, tomography or microwave imaging; reconstruction of the surface of a 3D object using X-ray tomography or making use of its shading; reconstruction of the surface of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images mixed using instruments with different sensitivities or transfer functions; and much more.

Download or read book Reproducible Research in Pattern Recognition written by Bertrand Kerautret and published by Springer Nature. This book was released on 2021-05-13 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.

Download or read book Advances in Computing Systems and Applications written by Mustapha Reda Senouci and published by Springer. This book was released on 2021-02-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on December 14, 2020, at the Ecole Militaire Polytechnique, Algiers, Algeria. The proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics. The proceedings are a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. Benefits: • Explores the latest research trends and their applications in a broad range of computer science disciplines • Presents a collection of contributions in emerging topics in computer science and information technology • Covers artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics

Download or read book The Culture of Military Organizations written by Peter R. Mansoor and published by Cambridge University Press. This book was released on 2019-10-17 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines how military culture forms and changes, as well as its impact on the effectiveness of military organizations.

Download or read book 2020 Tenth International Conference on Image Processing Theory Tools and Applications IPTA written by IEEE Staff and published by . This book was released on 2020-11-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The tenth International Conference on Image Processing Theory, Tools and Applications IPTA 2020 aims at gathering international researchers, innovators, educators, and practitioners in image processing for attending extensive educational high level materials, sharing their achievements, exchanging their experiences and discussing future orientations The conference aims to provide an excellent forum to meet and discuss various important issues on image processing and applications

Download or read book Applied Pattern Recognition written by Horst Bunke and published by Springer. This book was released on 2008-02-28 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.