Mathematical Image Processing PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mathematical Image Processing PDF full book. Access full book title Mathematical Image Processing by Maïtine Bergounioux. Download full books in PDF and EPUB format.

Mathematical Image Processing

Mathematical Image Processing PDF Author: Maïtine Bergounioux
Publisher: Springer Science & Business Media
ISBN: 3642196047
Category : Mathematics
Languages : en
Pages : 203

Book Description
The contributions appearing in this volume are a snapshot of the different topics that were discussed during the Second Conference "Mathematics and Image Processing” held at the University of Orléans in 2010. They mainly concern, image reconstruction, texture extraction and image classification and involve a variety of different methods and applications. Therefore it was impossible to split the papers into generic groups which is why they are presented in alphabetic order. However they mainly concern: texture analysis (5 papers) with different techniques (variational analysis, wavelet and morphological component analysis, fractional Brownian fields), geometrical methods (2 papers ) for restoration and invariant feature detection, classification (with multifractal analysis), neurosciences imaging and analysis of Multi-Valued Images.

Mathematical Image Processing

Mathematical Image Processing PDF Author: Maïtine Bergounioux
Publisher: Springer Science & Business Media
ISBN: 3642196047
Category : Mathematics
Languages : en
Pages : 203

Book Description
The contributions appearing in this volume are a snapshot of the different topics that were discussed during the Second Conference "Mathematics and Image Processing” held at the University of Orléans in 2010. They mainly concern, image reconstruction, texture extraction and image classification and involve a variety of different methods and applications. Therefore it was impossible to split the papers into generic groups which is why they are presented in alphabetic order. However they mainly concern: texture analysis (5 papers) with different techniques (variational analysis, wavelet and morphological component analysis, fractional Brownian fields), geometrical methods (2 papers ) for restoration and invariant feature detection, classification (with multifractal analysis), neurosciences imaging and analysis of Multi-Valued Images.

Stereoscopic Displays and Virtual Reality Systems

Stereoscopic Displays and Virtual Reality Systems PDF Author:
Publisher:
ISBN:
Category : Three-dimensional display systems
Languages : en
Pages : 540

Book Description


Color Image and Video Enhancement

Color Image and Video Enhancement PDF Author: Emre Celebi
Publisher: Springer
ISBN: 3319093630
Category : Technology & Engineering
Languages : en
Pages : 401

Book Description
This text covers state-of-the-art color image and video enhancement techniques. The book examines the multivariate nature of color image/video data as it pertains to contrast enhancement, color correction (equalization, harmonization, normalization, balancing, constancy, etc.), noise removal and smoothing. This book also discusses color and contrast enhancement in vision sensors and applications of image and video enhancement.

Mathematical Morphology and Its Applications to Image and Signal Processing

Mathematical Morphology and Its Applications to Image and Signal Processing PDF Author: John Goutsias
Publisher: Springer Science & Business Media
ISBN: 030647025X
Category : Science
Languages : en
Pages : 453

Book Description
Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications. Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics.

SAR Image Analysis, Modeling and Techniques

SAR Image Analysis, Modeling and Techniques PDF Author:
Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 246

Book Description


Signal and Image Processing for Biometrics

Signal and Image Processing for Biometrics PDF Author: Amine Nait-Ali
Publisher: John Wiley & Sons
ISBN: 1118588193
Category : Technology & Engineering
Languages : en
Pages : 353

Book Description
The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms. It discusses numerous signal and image processing techniques that are very often used in biometric applications. In particular, algorithms related to hand feature extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters, Matlab codes are provided so that readers can easily reproduce some basic simulation results. This book is suitable for final-year undergraduate students, postgraduate students, engineers and researchers in the field of computer engineering and applied digital signal and image processing. 1. Introduction to Biometrics, Bernadette Dorizzi. 2. Introduction to 2D Face Recognition, Amine Nait-Ali and Dalila Cherifi. 3. Facial Soft Biometrics for Person Recognition, Antitza Dantcheva, Christelle Yemdji, Petros Elia and Jean-Luc Dugelay. 4. Modeling, Reconstruction and Tracking for Face Recognition, Catherine Herold, Vincent Despiegel, Stéphane Gentric, Séverine Dubuisson and Isabelle Bloch. 5. 3D Face Recognition, Mohsen Ardabilian, Przemyslaw Szeptycki, Di Huang and Liming Chen. 6. Introduction to Iris Biometrics, Kamel Aloui, Amine Nait-Ali, Régis Fournier and Saber Naceur. 7. Voice Biometrics: Speaker Verification and Identification, Foezur Chowdhury, Sid-Ahmed Selouani and Douglas O’Shaughnessy. 8. Introduction to Hand Biometrics, Régis Fournier and Amine Nait-Ali. 9. Multibiometrics, Romain Giot, Baptiste Hemery, Estelle Cherrier and Christophe Rosenberger. 10. Hidden Biometrics, Amine Nait-Ali, Régis Fournier, Kamel Aloui and Noureddine Belgacem. 11. Performance Evaluation of Biometric Systems, Mohamad El-Abed, Romain Giot, Baptiste Hemery, Julien Mahier and Christophe Rosenberger. 12. Classification Techniques for Biometrics, Amel Bouchemha, Chérif Nait-Hamoud, Amine Nait-Ali and Régis Fournier. 13. Data Cryptography, Islam Naveed and William Puech. 14. Visual Data Protection, Islam Naveed and William Puech. 15. Biometrics in Forensics, Guillaume Galou and Christophe Lambert.

Handbook of Digital Image Synthesis

Handbook of Digital Image Synthesis PDF Author: Vincent Pegoraro
Publisher: CRC Press
ISBN: 1315395215
Category : Computers
Languages : en
Pages : 880

Book Description
The Handbook of Digital Image Synthesis is the most up-to-date reference guide in the rapidly developing field of computer graphics. A wide range of topics, such as, applied mathematics, data structures, and optical perception and imaging help to provide a well-rounded view of the necessary formulas for computer rendering. In addition to this diverse approach, the presentation of the material is substantiated by numerous figures and computer-generated images. From basic principles to advanced theories, this book, provides the reader with a strong foundation of computer formulas and rendering through a step-by-step process. . Key Features: Provides unified coverage of the broad range of fundamental topics in rendering Gives in-depth treatment of the basic and advanced concepts in each topic Presents a step-by-step derivation of the theoretical results needed for implementation Illustrates the concepts with numerous figures and computer-generated images Illustrates the core algorithms using platform-independent pseudo-code

Spatial Statistics and Modeling

Spatial Statistics and Modeling PDF Author: Carlo Gaetan
Publisher: Springer Science & Business Media
ISBN: 0387922571
Category : Mathematics
Languages : en
Pages : 308

Book Description
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete. The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation). A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference. This book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques & Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).

Image Sequence Processing and Dynamic Scene Analysis

Image Sequence Processing and Dynamic Scene Analysis PDF Author: T. S. Huang
Publisher: Springer Science & Business Media
ISBN: 3642819354
Category : Computers
Languages : en
Pages : 759

Book Description
This volume contains the proceedings of the NATO Advanced Study Institute on "Image Sequence Processing and Dynamic Scene Analysis" held 21 June - 2 July, 1982 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The organizing eommittee of the institute consists of T.S. Huang (Director), H.G. Musmann (Co Director), H.H. Nagel (Consultant), and C.E. Liedtke and W. Geuen (Local 'arrangement). This Institute was devoted to the rapidly emerging field of image sequence processing and dynamic scene analysis which has man! important applications in cluding target tracking, television bandwidth compression, highway traffic moni toring, and analysis of heart wall motion for medical diagnosis. The lectures and discussions in this Institute fell into three overlapping categories: Motion estimation; pattern recognition and artificial intelligence techniques in dynamic scene analysis; and, applications. 1) Motion estimation - One of the most important problems in image sequence analysis and dynamic scene analysis is displacement and motion estimation. For example, in interframe coding using temporal DPCM, displacement estimation and compensation can improve efficiency significantly. Also, estimated motion parameters can be powerful cues in target segmentation, detection, and classification. In this Institute, a number of recently developed techniques for displacement and motion estimation were discussed.

Modeling in Computer Graphics

Modeling in Computer Graphics PDF Author: Tosiyasu L. Kunii
Publisher: Springer Science & Business Media
ISBN: 4431681477
Category : Computers
Languages : en
Pages : 373

Book Description
In order to capture the essential features of computer graphics, fundamental methods, concepts, and techniques have been integrated into generalized models through a process known as modeling. This volume outlines the progress made in computer graphic modeling and presents previously unpublished results and surveys which will help readers better understand the concepts and applications of this fascinating subject.