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Author: ERIC.. FAVIER
Publisher:
ISBN:
Category :
Languages : fr
Pages : 161
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Book Description
CETTE THESE S'ATTACHE A L'ETUDE MULTIRESOLUTION DES CONTOURS DISCRETS ET DES IMAGES A NIVEAUX DE GRIS DE TEXTURE. LE BUT EST DE FOURNIR UNE DESCRIPTION DE CES OBJETS A DIFFERENTES ECHELLES D'ETUDE ET D'ESSAYER DE DETERMINER LA OU LES ECHELLES D'ETUDE LES PLUS APPROPRIEES POUR L'ANALYSE DE CEUX CI. LA PREMIERE PARTIE DE CE TRAVAIL SE RAPPORTE A L'ETUDE DES IMAGES BINAIRES ET PLUS PARTICULIEREMENT A L'ETUDE DES CONTOURS DISCRETS. LA NOTION D'ECHELLE D'ETUDE D'UN CONTOUR EST DEFINIE AINSI QUE DES ALGORITHMES PERMETTANT DE LA CHOISIR. POUR CHAQUE CONTOUR, ON DETERMINE LA (OU LES ECHELLES) D'ETUDE PERMETTANT DE LE DECRIRE DE MANIERE OPTIMALE. DES ALGORITHMES DE CALCULS DE COURBURES EN CHAQUE POINT DU CONTOUR, DE DETERMINATION DE POINTS DOMINANTS EN FONCTION DE L'ECHELLE D'ETUDE CHOISIE SONT DECRITS. UNE DEFINITION DE LA CONVEXITE EST DONNE EN FONCTION DES ETUDES CHOISIES AINSI QUE LA NOTION DE T ENVELOPPE CONVEXE. IL EST EGALEMENT PRESENTE UNE DISTANCE SUR L'ENSEMBLE DES CONTOURS DISCRETS. CETTE DERNIERE EST UNE DISTANCE DE CONVEXITE A UNE ECHELLE D'ETUDE DONNEE QUI PERMET DE COMPARER DEUX CONTOURS INDEPENDAMMENT DE LEUR TAILLE SUR UN CRITERE DE CONVEXITE. DE PLUS, UN LIEN EST TISSE ENTRE CES DIFFERENTS ALGORITHMES ET LES OPERATIONS DE GRANULOMETRIE OU D'OUVERTURES CONNUES DANS LA MORPHOLOGIE MATHEMATIQUE. LA SECONDE PARTIE DE CETTE THESE ABORDE L'ETUDE DES IMAGES EN NIVEAUX DE GRIS MULTITEXTUREES, LA AUSSI LE BUT EST DE DECRIRE CES IMAGES EN FONCTION DE L'ECHELLE D'ETUDE ET DE TROUVER LES BONS PARAMETRES POUR L'ANALYSE DE CE TYPE D'IMAGES. LES METHODES SONT D'ORDRE STATISTIQUE ET LES PROCESSUS MIS EN UVRE SONT LIES AUX APPROCHES MULTIRESOLUTIONS. UN MODELE GAUSSIEN D'IMAGES DE TEXTURE EST PRESENTE. CHAQUE IMAGE EST ETUDIEE A DIFFERENTES ECHELLES D'ETUDE, ET LE CHOIX DE LA MEILLEURE ECHELLE D'ETUDE EST ABORDE CE QUI PERMET DE PROPOSER DES METHODES AUTOMATIQUES DE DETECTION DES ZONES DE TEXTURE SEMBLABLE. DES RESULTATS SONT PRESENTES POUR DES EXEMPLES D'IMAGES MULTITEXTUREES ET UNE ANALYSE DES RESULTATS MONTRE QUE NOS METHODES PERMETTENT DE SEGMENTER DE MANIERE TRES SATISFAISANTE CERTAINES IMAGES QUI POSENT DES PROBLEMES A DE NOMBREUX ALGORITHMES EXISTANTS
Author: ERIC.. FAVIER
Publisher:
ISBN:
Category :
Languages : fr
Pages : 161
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Book Description
CETTE THESE S'ATTACHE A L'ETUDE MULTIRESOLUTION DES CONTOURS DISCRETS ET DES IMAGES A NIVEAUX DE GRIS DE TEXTURE. LE BUT EST DE FOURNIR UNE DESCRIPTION DE CES OBJETS A DIFFERENTES ECHELLES D'ETUDE ET D'ESSAYER DE DETERMINER LA OU LES ECHELLES D'ETUDE LES PLUS APPROPRIEES POUR L'ANALYSE DE CEUX CI. LA PREMIERE PARTIE DE CE TRAVAIL SE RAPPORTE A L'ETUDE DES IMAGES BINAIRES ET PLUS PARTICULIEREMENT A L'ETUDE DES CONTOURS DISCRETS. LA NOTION D'ECHELLE D'ETUDE D'UN CONTOUR EST DEFINIE AINSI QUE DES ALGORITHMES PERMETTANT DE LA CHOISIR. POUR CHAQUE CONTOUR, ON DETERMINE LA (OU LES ECHELLES) D'ETUDE PERMETTANT DE LE DECRIRE DE MANIERE OPTIMALE. DES ALGORITHMES DE CALCULS DE COURBURES EN CHAQUE POINT DU CONTOUR, DE DETERMINATION DE POINTS DOMINANTS EN FONCTION DE L'ECHELLE D'ETUDE CHOISIE SONT DECRITS. UNE DEFINITION DE LA CONVEXITE EST DONNE EN FONCTION DES ETUDES CHOISIES AINSI QUE LA NOTION DE T ENVELOPPE CONVEXE. IL EST EGALEMENT PRESENTE UNE DISTANCE SUR L'ENSEMBLE DES CONTOURS DISCRETS. CETTE DERNIERE EST UNE DISTANCE DE CONVEXITE A UNE ECHELLE D'ETUDE DONNEE QUI PERMET DE COMPARER DEUX CONTOURS INDEPENDAMMENT DE LEUR TAILLE SUR UN CRITERE DE CONVEXITE. DE PLUS, UN LIEN EST TISSE ENTRE CES DIFFERENTS ALGORITHMES ET LES OPERATIONS DE GRANULOMETRIE OU D'OUVERTURES CONNUES DANS LA MORPHOLOGIE MATHEMATIQUE. LA SECONDE PARTIE DE CETTE THESE ABORDE L'ETUDE DES IMAGES EN NIVEAUX DE GRIS MULTITEXTUREES, LA AUSSI LE BUT EST DE DECRIRE CES IMAGES EN FONCTION DE L'ECHELLE D'ETUDE ET DE TROUVER LES BONS PARAMETRES POUR L'ANALYSE DE CE TYPE D'IMAGES. LES METHODES SONT D'ORDRE STATISTIQUE ET LES PROCESSUS MIS EN UVRE SONT LIES AUX APPROCHES MULTIRESOLUTIONS. UN MODELE GAUSSIEN D'IMAGES DE TEXTURE EST PRESENTE. CHAQUE IMAGE EST ETUDIEE A DIFFERENTES ECHELLES D'ETUDE, ET LE CHOIX DE LA MEILLEURE ECHELLE D'ETUDE EST ABORDE CE QUI PERMET DE PROPOSER DES METHODES AUTOMATIQUES DE DETECTION DES ZONES DE TEXTURE SEMBLABLE. DES RESULTATS SONT PRESENTES POUR DES EXEMPLES D'IMAGES MULTITEXTUREES ET UNE ANALYSE DES RESULTATS MONTRE QUE NOS METHODES PERMETTENT DE SEGMENTER DE MANIERE TRES SATISFAISANTE CERTAINES IMAGES QUI POSENT DES PROBLEMES A DE NOMBREUX ALGORITHMES EXISTANTS
Author: Eric Favier
Publisher:
ISBN:
Category :
Languages : fr
Pages : 0
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Book Description
Author: Alamin Mansouri
Publisher: Springer
ISBN: 3319942115
Category : Computers
Languages : en
Pages : 551
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Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Image and Signal Processing, ICISP 2018, held in Cherbourg, France, in July 2018. The 58 revised full papers were carefully reviewed and selected from 122 submissions. The contributions report on the latest developments in image and signal processing, video processing, computer vision, multimedia and computer graphics, and mathematical imaging and vision.
Author: Adrien Depeursinge
Publisher: Academic Press
ISBN: 0128123214
Category : Computers
Languages : en
Pages : 432
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Book Description
Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. - Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision - Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements - Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different - Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators - Showcases applications where biomedical texture analysis has succeeded and failed - Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis
Author: Ali Mohamad-Djafari
Publisher: John Wiley & Sons
ISBN: 1118600460
Category : Technology & Engineering
Languages : en
Pages : 369
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Book Description
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.
Author: Mike J. Smith
Publisher: Elsevier
ISBN: 0444535365
Category : Technology & Engineering
Languages : en
Pages : 635
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Book Description
Geomorphological Mapping: a professional handbook of techniques and applications is a new book targeted at academics and practitioners who use, or wish to utilise, geomorphological mapping within their work. Synthesising for the first time an historical perspective to geomorphological mapping, field based and digital tools and techniques for mapping and an extensive array of case studies from academics and professionals active in the area. Those active in geomorphology, engineering geology, reinsurance, Environmental Impact Assessors, and allied areas, will find the text of immense value. - Growth of interest in geomorphological mapping and currently no texts comprehensively cover this topic - Extensive case studies that will appeal to professionals, academics and students (with extensive use of diagrams, potentially colour plates) - Brings together material on digital mapping (GIS and remote sensing), cartography and data sources with a focus on modern technologies (including GIS, remote sensing and digital terrain analysis) - Provides readers with summaries of current advances in methodological/technical aspects - Accompanied by electronic resources for digital mapping
Author: J. R. Parker
Publisher: John Wiley & Sons
ISBN: 1118021886
Category : Computers
Languages : en
Pages : 498
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Book Description
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
Author: David Vernon
Publisher: Springer
ISBN: 3540450548
Category : Computers
Languages : en
Pages : 953
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Book Description
Ten years ago, the inaugural European Conference on Computer Vision was held in Antibes, France. Since then, ECCV has been held biennially under the auspices of the European Vision Society at venues around Europe. This year, the privilege of organizing ECCV 2000 falls to Ireland and it is a signal honour for us to host what has become one of the most important events in the calendar of the computer vision community. ECCV is a single-track conference comprising the highest quality, previously unpublished, contributed papers on new and original research in computer vision. This year, 266 papers were submitted and, following a rigorous double-blind review process, with each paper being reviewed by three referees, 116 papers were selected by the Programme Committee for presentation at the conference. The venue for ECCV 2000 is the University of Dublin, Trinity College. - unded in 1592, it is Ireland’s oldest university and has a proud tradition of scholarship in the Arts, Humanities, and Sciences, alike. The Trinity campus, set in the heart of Dublin, is an oasis of tranquility and its beautiful squares, elegant buildings, and tree-lined playing- elds provide the perfect setting for any conference.
Author: Constantino Carlos Reyes-Aldasoro
Publisher: Springer
ISBN: 3030239373
Category : Computers
Languages : en
Pages : 200
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Book Description
This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 876
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Book Description
