Introduction au traitement d'images

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Publisher :
ISBN 13 : 9782711748419
Total Pages : 221 pages
Book Rating : 4.7/5 (484 download)

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Book Synopsis Introduction au traitement d'images by : Diane Lingrand

Download or read book Introduction au traitement d'images written by Diane Lingrand and published by . This book was released on 2004 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage est une introduction pragmatique au traitement d'images. Il passe en revue les algorithmes classiques de traitement d'images tout en les rapprochant d'applications concrètes. Il vise également à démystifier un certain nombre de techniques récentes dont les fondements théoriques sont complexes mais qui peuvent être abordées de façon simple (notamment les morphomathématiques). On présente d'abord la notion d'image, sa représentation et son stockage numériques. On s'intéresse également à la perception visuelle ainsi qu'à la représentation des couleurs. Les transformations de valeurs de pixels et les transformations géométriques sont ensuite abordées, puis la recherche de primitives (détection de contours, morphomathématiques, détection de régions, contours déformables). Cet ouvrage présente chaque notion ou technique de façon à ce qu'elle soit implémentable et que les résultats soient explicables. Le lecteur peut donc les mettre en pratique, en élaborant au fil du livre une application graphique de traitement d'images. Un hors-texte en couleurs présente les principaux résultats des techniques et algorithmes étudiés dans l'ouvrage.

Introduction au traitement d'images

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Publisher : Hermes Science Publications
ISBN 13 : 9782746203235
Total Pages : 223 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis Introduction au traitement d'images by : Gilles Burel

Download or read book Introduction au traitement d'images written by Gilles Burel and published by Hermes Science Publications. This book was released on 2001 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Donne une bonne compréhension des principes de base du traitement d'images. A travers différents domaines applicatifs (restauration d'images, recalage, compression, reconnaissance des formes) il montre les raisonnements et les méthodes permettant d'obtenir le résultat escompté.

Initiation au traitement d’images - Contours, couleurs, mouvements - Cours, exercices et TP corrigés

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Publisher : Editions Ellipses
ISBN 13 : 2340059313
Total Pages : 288 pages
Book Rating : 4.3/5 (4 download)

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Book Synopsis Initiation au traitement d’images - Contours, couleurs, mouvements - Cours, exercices et TP corrigés by : Franck Luthon

Download or read book Initiation au traitement d’images - Contours, couleurs, mouvements - Cours, exercices et TP corrigés written by Franck Luthon and published by Editions Ellipses. This book was released on 2021-09-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le livre comporte une première partie de cours sur les images statiques (traitement spatial, détection de contours, couleur, forme) et sur les séquences vidéo (dimension temporelle, mouvement), suivie d'une deuxième partie applicative avec soixante exercices corrigés, et des sujets de travaux pratiques de programmation d'algorithmes simples. Il s'adresse aux étudiants de master sciences et technologie, ou élèves-ingénieurs de toute discipline, ainsi qu’à tout enseignant demandeur d’un manuel de cours contenant des sujets d'exercices et de programmation, à proposer à ses étudiants.

Introduction to Image Processing Using R

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Publisher : Springer Science & Business Media
ISBN 13 : 1447149505
Total Pages : 95 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Introduction to Image Processing Using R by : Alejandro C. Frery

Download or read book Introduction to Image Processing Using R written by Alejandro C. Frery and published by Springer Science & Business Media. This book was released on 2013-02-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

Image et information

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Publisher :
ISBN 13 : 9782225802256
Total Pages : 274 pages
Book Rating : 4.8/5 (22 download)

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Book Synopsis Image et information by : Albert Bijaoui

Download or read book Image et information written by Albert Bijaoui and published by . This book was released on 1984 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction aux techniques de traitement d'images

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Publisher :
ISBN 13 :
Total Pages : 278 pages
Book Rating : 4.:/5 (184 download)

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Book Synopsis Introduction aux techniques de traitement d'images by : André Marion

Download or read book Introduction aux techniques de traitement d'images written by André Marion and published by . This book was released on 1987 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Image Processing

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Publisher : Springer
ISBN 13 : 1489931864
Total Pages : 317 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Introduction to Image Processing by : André Marion

Download or read book Introduction to Image Processing written by André Marion and published by Springer. This book was released on 2013-11-11 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: I. The past. the present . . . and the future It is possible to take the view that ever since it began, the "ancient" branch of physics known as Optics has been concerned with process ing images. But since the Nineteen-Thirties increasingly close ties have been forming between Optics, which until then had been largely based on instruments, and the sciences of communication and infor mation arising out of mathematics and electronics. Such developments follow naturally, since communication systems and image-forming systems are all designed to receive or transmit information. Further more the same mathematical forms are used for describing the beha viour of electrical and optical systems. It is a question of systems theory, particularly linear systems, and of Fourier's analysis methods, which together constitute an important part of Signal Theory. In the case of communication systems carrying signals of an electrical nature, information is time-related or temporal. Transmitted signals are one-dimensional and functions of a single variable, time t. In the case of optical systems information is spatial in nature. Signals are distributions of light intensity in space. In general they are treated as two-dimensional signals, being functions of two spatia! variables written as x and y. In the early Fifties the way forward became clearer still when some scientists at the Institut d'Optique in Paris began using optical filtering techniques in coherent light in order to enhance the quality of photographs.

An Introduction to Digital Image Processing

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Publisher : Prentice Hall
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Digital Image Processing by : Wayne Niblack

Download or read book An Introduction to Digital Image Processing written by Wayne Niblack and published by Prentice Hall. This book was released on 1986 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Image Processing and Analysis

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Publisher : CRC Press
ISBN 13 : 1420006495
Total Pages : 394 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Image Processing and Analysis by : John C. Russ

Download or read book Introduction to Image Processing and Analysis written by John C. Russ and published by CRC Press. This book was released on 2017-12-19 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.

Introduction to Digital Image Processing

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Publisher : CRC Press
ISBN 13 : 1482216701
Total Pages : 750 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Digital Image Processing by : William K. Pratt

Download or read book Introduction to Digital Image Processing written by William K. Pratt and published by CRC Press. This book was released on 2013-09-13 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced s

Introduction au traitement mathématique des images - méthodes déterministes

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Publisher : Springer
ISBN 13 : 3662465396
Total Pages : 255 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Introduction au traitement mathématique des images - méthodes déterministes by : Maïtine Bergounioux

Download or read book Introduction au traitement mathématique des images - méthodes déterministes written by Maïtine Bergounioux and published by Springer. This book was released on 2015-02-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce cours est une introduction au traitement d'image mathématique déterministe. Les principales problématiques en traitement et analyse d’image y sont présentées: débruitage/filtrage/restauration, segmentation, rehaussement/défloutage, ainsi qu’un aperçu de quelques techniques d’acquisition. Les méthodes mathématiques utilisées ont essentiellement déterministes : transformation de Fourier, ondelettes, équations aux dérivées partielles, morphologie mathématique et méthodes variationnelles. Quelques applications y sont brièvement présentées pour illustrer le propos : la stéganographie, la compression et l’inpainting (ou désocclusion). Le livre comprend également un rappel des principales notions mathématiques utilisées (il se veut auto-suffisant) et la bibliographie abondante doit permettre au lecteur d’approfondir les techniques qui l’intéressent. Cet ouvrage s’adresse à des étudiants de MASTER, élèves-ingénieurs ou chercheurs désireux de comprendre ou d’approfondir les techniques mathématiques de base en traitement et analyse d’image. This course is an introduction to deterministic mathematical image processing. The main issues in processing and image analysis are presented: denoising, filtering, restoration, segmentation, enhancement and deblurring.There is also an overview of some acquisition techniques. Mathematical methods are essentially deterministic: Fourier transform, wavelets, partial differential equations, mathematical morphology and variational methods. Some applications are briefly presented to illustrate the topic, such as steganography, compression and inpainting. This self-contained book also includes a recap of the basic mathematical concepts used, and the extensive bibliography will enable readers to develop their skills. This book is intended for masters students, engineering students and researchers wanting to comprehend or deepen their understanding of thebasic mathematical techniques in processing and image analysis.

Digital Image Processing

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Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Digital Image Processing by : Nick Efford

Download or read book Digital Image Processing written by Nick Efford and published by Addison Wesley Publishing Company. This book was released on 2000 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains Java classes for use in developing image processing software as well as completed image processing software.

An Interdisciplinary Introduction to Image Processing

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Publisher : MIT Press
ISBN 13 : 0262017164
Total Pages : 565 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis An Interdisciplinary Introduction to Image Processing by : Steven L. Tanimoto

Download or read book An Interdisciplinary Introduction to Image Processing written by Steven L. Tanimoto and published by MIT Press. This book was released on 2012-04-27 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

An Introduction to Morphological Image Processing

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Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Morphological Image Processing by : Edward R. Dougherty

Download or read book An Introduction to Morphological Image Processing written by Edward R. Dougherty and published by SPIE-International Society for Optical Engineering. This book was released on 1992 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Binary erosion and dilation. Binary opening and closing. Morphological processing of binary images. Hit-or-miss transform. Granulometries. Gray-scale morphology. Gray-scale morphological algorithms.

Introduction to Image Processing

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Publisher :
ISBN 13 : 9780946536375
Total Pages : 314 pages
Book Rating : 4.5/5 (363 download)

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Book Synopsis Introduction to Image Processing by : Andre Marion

Download or read book Introduction to Image Processing written by Andre Marion and published by . This book was released on 1989-11-01 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Digital Image Processing

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Publisher : Springer Nature
ISBN 13 : 3031057449
Total Pages : 937 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Digital Image Processing by : Wilhelm Burger

Download or read book Digital Image Processing written by Wilhelm Burger and published by Springer Nature. This book was released on 2022-08-24 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content, improved illustrations and teaching material. Topics and features: Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER). Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website. Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms. Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages. Presents suggested outlines for a one- or two-semester course in the preface. Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.

Introduction to Medical Image Analysis

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Publisher : Springer
ISBN 13 : 9783030393632
Total Pages : 186 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis Introduction to Medical Image Analysis by : Rasmus R. Paulsen

Download or read book Introduction to Medical Image Analysis written by Rasmus R. Paulsen and published by Springer. This book was released on 2020-05-27 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly mathematical treatment, the text focuses on intuitive explanations, illustrating the key algorithms and concepts in a way which will make sense to students from a broad range of different backgrounds. Topics and features: explains what light is, and how it can be captured by a camera and converted into an image, as well as how images can be compressed and stored; describes basic image manipulation methods for understanding and improving image quality, and a useful segmentation algorithm; reviews the basic image processing methods for segmenting or enhancing certain features in an image, with a focus on morphology methods for binary images; examines how to detect, describe, and recognize objects in an image, and how the nature of color can be used for segmenting objects; introduces a statistical method to determine what class of object the pixels in an image represent; describes how to change the geometry within an image, how to align two images so that they are as similar as possible, and how to detect lines and paths in images; provides further exercises and other supplementary material at an associated website. This concise and accessible textbook will be invaluable to undergraduate students of computer science, engineering, medicine, and any multi-disciplinary courses that combine topics on health with data science. Medical practitioners working with medical imaging devices will also appreciate this easy-to-understand explanation of the technology.