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Book Repr  sentation Morphologique D Images Num  riques

Download or read book Repr sentation Morphologique D Images Num riques written by Pascal Monasse and published by Omniscriptum. This book was released on 2018-02-28 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: La représentation d'une image numérique par un tableau de pixels n'est pas une information assez hiérarchique pour son analyse. Observant que le contraste importe bien moins que la géométrie, nous représentons l'information géométrique par les composantes connexes d'ensembles de niveaux dont nous remplissons les trous, la hiérarchie s'obtenant par l'ordre d'inclusion. La propriété attrayante de ces caractéristiques est qu'elles représentent exactement l'image. Deux filtres morphologiques en sont déduits. Ils sont invariants par inversion du contraste: on les qualifie d'autoduaux dans le vocabulaire de la morphologie mathématique. Nous utilisons cette représentation dans la deuxième partie pour traiter du recalage d'images. Notre méthode repose sur les éléments de base de notre représentation, nommés formes. Nous cherchons les formes d'une image dans l'autre, établissant ainsi des correspondances entres formes d'images. Puis une procédure de vote des correspondances sélectionne le mouvement dominant. Nous montrons que cette méthode a le mérite de donner un recalage d'une précision sous-pixellique dans des conditions mème défavorables.

Book Repr  sentation morphologique d images num  riques et application au recalage

Download or read book Repr sentation morphologique d images num riques et application au recalage written by Pascal Monasse and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: La représentation d'une image numérique par un tableau de pixels n'est pas une information assez hiérarchique pour l'analyse d'images. Observant que le contraste importe bien moins que la géométrie, nous représentons cette information géométrique par les composantes connexes d'ensembles de niveaux dont nous remplissons les trous, la hiérarchie s'obtenant alors naturellement par l'ordre d'inclusion. La propriété attrayante de ces caractéristiques est qu'elles représentent exactement l'image. Deux filtres morphologiques déduits de cette représentation sont proposés. Puisqu'ils reposent sur cette représentation, ils présentent la propriété intéressante d'être invariants par inversion du contraste : on les qualifie d'autoduaux dans le vocabulaire de la morphologie mathématique. Nous utilisons ensuite cette représentation dans la deuxième partie pour traiter de l'un des problèmes les plus élémentaires en traitement de plusieurs images : le recalage. Notre méthode repose sur les éléments de base de notre représentation, nommés formes, qui sont donc des caractéristiques stables pour effectuer le recalage. Nous cherchons les formes de chaque image dans l'autre image, établissant ainsi des correspondances entre formes d'une image et de l'autre image. Puis une procédure de vote des correspondances sélectionne le mouvement dominant. Nous montrons que cette méthode a le mérite de donner un recalage d'une précision subpixellique dans des conditions tout à fait défavorables.

Book Representation morphologique d images numeriques et application au recalage

Download or read book Representation morphologique d images numeriques et application au recalage written by Pascal Monasse and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book From Gestalt Theory to Image Analysis

Download or read book From Gestalt Theory to Image Analysis written by Agnès Desolneux and published by Springer Science & Business Media. This book was released on 2007-12-24 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The book is mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and numerous examples based on specific images on which the theory is tested. Detailed exercises at the end of each chapter help the reader develop a firm understanding of the concepts imparted.

Book Imagerie num  rique   avanc  es et perspectives pour la couleur

Download or read book Imagerie num rique avanc es et perspectives pour la couleur written by FERNANDEZ-MALOIGNE Christine and published by Lavoisier. This book was released on 2012-04-16 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage collectif recense les dernières avancées dans le domaine de l'analyse automatique des images numériques couleur. Destiné aux chercheurs, ingénieurs R&D et étudiants en Master ou Doctorat, il constitue un état de l'art critique et le plus exhaustif possible sur les problématiques scientifiques soulevées par les différentes étapes constituant une chaîne de traitement des images couleur. Le filtrage et la segmentation des images fixes sont abordés par des techniques récentes telles que les outils morphologiques couleur, les équations aux dérivées partielles, l'algèbre quaternionique ou l'analyse de graphes. La caractérisation des textures couleur est traitée par la prédiction linéaire ou des descripteurs statistiques. La reconnaissance d'objets fixes ou en mouvement dans des vidéos couleur nécessite d'utiliser des attributs invariants aux conditions d'éclairage. Une attention particulière a été apportée aux espaces couleur, et notamment ceux séparant la luminance de la chrominance.

Book Geometric Description of Images as Topographic Maps

Download or read book Geometric Description of Images as Topographic Maps written by Vicent Caselles and published by Springer. This book was released on 2009-12-24 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the basic geometric contents of an image and presents a treedatastructuretohandleite?ciently.Itanalyzesalsosomemorphological operators that simplify this geometric contents and their implementation in termsofthe datastructuresintroduced.It?nallyreviewsseveralapplications to image comparison and registration, to edge and corner computation, and the selection of features associated to a given scale in images. Let us ?rst say that, to avoid a long list, we shall not give references in this summary; they are obviously contained in this monograph. A gray level image is usually modeled as a function de?ned in a bounded N domain D? R (typically N = 2 for usual snapshots, N=3formedical images or movies) with values in R. The sensors of a camera or a CCD array transform the continuum of light energies to a ?nite interval of values by means of a nonlinear function g. The contrast change g depends on the pr- ertiesofthesensors,butalsoontheilluminationconditionsandthere?ection propertiesofthe objects,andthoseconditionsaregenerallyunknown.Images are thus observed modulo an arbitrary and unknown contrast change.

Book Statistics and Analysis of Shapes

Download or read book Statistics and Analysis of Shapes written by Hamid Krim and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines. With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms available in a single resource. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.

Book A Theory of Shape Identification

Download or read book A Theory of Shape Identification written by Frédéric Cao and published by Springer. This book was released on 2008-08-17 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals to detect and recognize shapes is one of the enigmas of perception. The book describes a complete method that starts from a query image and an image database and yields a list of the images in the database containing shapes present in the query image. A false alarm number is associated to each detection. Many experiments will show that familiar simple shapes or images can reliably be identified with false alarm numbers ranging from 10-5 to less than 10-300. Technically speaking, there are two main issues. The first is extracting invariant shape descriptors from digital images. Indeed, a shape can be seen from various angles and distances and in various lights.

Book Mathematical Morphology and Its Applications to Image Processing

Download or read book Mathematical Morphology and Its Applications to Image Processing written by Jean Serra and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form of objects, and it is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc. MM is not only a theory, but also a powerful image analysis technique. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM. The book consists of forty-five contributions classified by subject. It demonstrates a wide range of topics suited to the morphological approach.

Book Traitement d images num  riques au moyen d algorithmes utilisant la morphologie math  matique et la notion d objet

Download or read book Traitement d images num riques au moyen d algorithmes utilisant la morphologie math matique et la notion d objet written by Marc Van Droogenbroeck and published by . This book was released on 1994 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Free Boundary Problems

Download or read book Free Boundary Problems written by Pierluigi Colli and published by Birkhäuser. This book was released on 2012-12-06 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many phenomena of interest for applications are represented by differential equations which are defined in a domain whose boundary is a priori unknown, and is accordingly named a "free boundary". A further quantitative condition is then provided in order to exclude indeterminacy. Free boundary problems thus encompass a broad spectrum which is represented in this state-of-the-art volume by a variety of contributions of researchers in mathematics and applied fields like physics, biology and material sciences. Special emphasis has been reserved for mathematical modelling and for the formulation of new problems.

Book Digital Color Imaging

    Book Details:
  • Author : Christine Fernandez-Maloigne
  • Publisher : John Wiley & Sons
  • Release : 2013-03-04
  • ISBN : 1118614267
  • Pages : 238 pages

Download or read book Digital Color Imaging written by Christine Fernandez-Maloigne and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For researchers and students, it represents a critical state of the art on the scientific issues raised by the various steps constituting the chain of color image processing. It covers a wide range of topics related to computational color imaging, including color filtering and segmentation, color texture characterization, color invariant for object recognition, color and motion analysis, as well as color image and video indexing and retrieval. Contents 1. Color Representation and Processing in Polar Color Spaces, Jesús Angulo, Sébastien Lefèvre and Olivier Lezoray. 2. Adaptive Median Color Filtering, Frédérique Robert-Inacio and Eric Dinet. 3. Anisotropic Diffusion PDEs for Regularization of Multichannel Images: Formalisms and Applications, David Tschumperlé. 4. Linear Prediction in Spaces with Separate Achromatic and Chromatic Information,Olivier Alata, Imtnan Qazi, Jean-Christophe Burie and Christine Fernandez-Maloigne. 5. Region Segmentation, Alain Clément, Laurent Busin, Olivier Lezoray and Ludovic Macaire. 6. Color Texture Attributes, Nicolas Vandenbroucke, Olivier Alata, Christèle Lecomte, Alice Porebski and Imtnan Qazi. 7. Photometric Color Invariants for Object Recognition, Damien Muselet. 8. Color Key Point Detectors and Local Color Descriptors, Damien Muselet and Xiaohu Song. 9. Motion Estimation in Color Image Sequences, Bertrand Augereau and Jenny Benois-Pineau.

Book Space  Structure and Randomness

Download or read book Space Structure and Randomness written by Michel Bilodeau and published by Springer Science & Business Media. This book was released on 2007-12-23 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Space, structure, and randomness: these are the three key concepts underlying Georges Matheron’s scientific work. He first encountered them at the beginning of his career when working as a mining engineer, and then they resurfaced in fields ranging from meteorology to microscopy. What could these radically different types of applications possibly have in common? First, in each one only a single realisation of the phenomenon is available for study, but its features repeat themselves in space; second, the sampling pattern is rarely regular, and finally there are problems of change of scale. This volume is divided in three sections on random sets, geostatistics and mathematical morphology. They reflect his professional interests and his search for underlying unity. Some readers may be surprised to find theoretical chapters mixed with applied ones. We have done this deliberately. GM always considered that the distinction between the theory and practice was purely academic. When GM tackled practical problems, he used his skill as a physicist to extract the salient features and to select variables which could be measured meaningfully and whose values could be estimated from the available data. Then he used his outstanding ability as a mathematician to solve the problems neatly and efficiently. It was his capacity to combine a physicist’s intuition with a mathematician’s analytical skills that allowed him to produce new and innovative solutions to difficult problems. The book should appeal to graduate students and researchers working in mathematics, probability, statistics, physics, spatial data analysis, and image analysis. In addition it will be of interest to those who enjoy discovering links between scientific disciplines that seem unrelated at first glance. In writing the book the contributors have tried to put GM’s ideas into perspective. During his working life, GM was a genuinely creative scientist. He developed innovative concepts whose usefulness goes far beyond the confines of the discipline for which they were originally designed. This is why his work remains as pertinent today as it was when it was first written.

Book Mathematical Morphology  40 Years On

Download or read book Mathematical Morphology 40 Years On written by Christian Ronse and published by Springer Science & Business Media. This book was released on 2005-04-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Morphology is a speciality in Image Processing and Analysis, which considers images as geometrical objects, to be analyzed through their interactions with other geometrical objects. It relies on several branches of mathematics, such as discrete geometry, topology, lattice theory, partial differential equations, integral geometry and geometrical probability. It has produced fast and efficient algorithms for computer analysis of images, and has found applications in bio-medical imaging, materials science, geoscience, remote sensing, quality control, document processing and data analysis. This book contains the 43 papers presented at the 7th International Symposium on Mathematical Morphology, held in Paris on April 18-20, 2005. It gives a lively state of the art of current research topics in this field. It also marks a milestone, the 40 years of uninterrupted development of this ever-expanding domain.

Book Application de la morphologie math  matique pour l interpolation d images num  riques

Download or read book Application de la morphologie math matique pour l interpolation d images num riques written by Marcin Iwanowski (Ingénieur).) and published by . This book was released on 2000 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Mathematical Morphology

Download or read book Mathematical Morphology written by Laurent Najman and published by John Wiley & Sons. This book was released on 2013-01-24 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface meshes, solids, and other spatial structures. This book presents an up-to-date treatment of mathematical morphology, based on the three pillars that made it an important field of theoretical work and practical application: a solid theoretical foundation, a large body of applications and an efficient implementation. The book is divided into five parts and includes 20 chapters. The five parts are structured as follows: Part I sets out the fundamental aspects of the discipline, starting with a general introduction, followed by two more theory-focused chapters, one addressing its mathematical structure and including an updated formalism, which is the result of several decades of work. Part II extends this formalism to some non-deterministic aspects of the theory, in particular detailing links with other disciplines such as stereology, geostatistics and fuzzy logic. Part III addresses the theory of morphological filtering and segmentation, featuring modern connected approaches, from both theoretical and practical aspects. Part IV features practical aspects of mathematical morphology, in particular how to deal with color and multivariate data, links to discrete geometry and topology, and some algorithmic aspects; without which applications would be impossible. Part V showcases all the previously noted fields of work through a sample of interesting, representative and varied applications.

Book Mathematical Morphology

Download or read book Mathematical Morphology written by Hugues Talbot and published by CSIRO PUBLISHING. This book was released on 2002 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis.