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Titre : Autonomous Mobile Robots : sensing, control, decision making and applications Type de document : texte imprimé Auteurs : Shuzhi Sam Ge, Auteur ; Frank L. Lewis, Auteur Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2006 Collection : Control Engineering Series Importance : 709 p. Présentation : couv. ill.,ill. Format : 23,5 cm. ISBN/ISSN/EAN : 978-0-8493-3748-2 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-08 Robotique.Application et simulation Résumé : It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited.
Roadmap to the Future
Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications.
Trusted Guidance
A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations.
For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.Note de contenu : Table of Contents
I SENSORS AND SENSOR FUSION
Chapter 1 Visual Guidance for Autonomous Vehicles: Capability and Challenges
Chapter 2 Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
Chapter 3 Data Fusion via Kalman Filter: GPS and INS
Chapter 4 Landmarks and Triangulation in Navigation
II MODELING AND CONTROL
Chapter 5 Stabilization of Nonholonomic Systems
Chapter 6 Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
Chapter 7 Adaptive Control of Mobile Robots Including Actuator Dynamics
Chapter 8 Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers
III MAP BUILDING AND PATH PLANNING
Chapter 9 Map Building and SLAM Algorithms
Chapter 10 Motion Planning: Recent Developments
Chapter 11 Multi-Robot Cooperation
IV DECISION MAKING AND AUTONOMY
Chapter 12 Knowledge Representation and Decision Making for Mobile Robots
Chapter 13 Algorithms for Planning under Uncertainty in Prediction and Sensing
Chapter 14 Behavior-Based Coordination in Multi-Robot Systems
V SYSTEM INTEGRATION AND APPLICATIONS
Chapter 15 Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
Chapter 16 Automotive Systems/Robotic Vehicles
Chapter 17 Intelligent Systems
INDEXAutonomous Mobile Robots : sensing, control, decision making and applications [texte imprimé] / Shuzhi Sam Ge, Auteur ; Frank L. Lewis, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2006 . - 709 p. : couv. ill.,ill. ; 23,5 cm.. - (Control Engineering Series) .
ISBN : 978-0-8493-3748-2
Langues : Anglais (eng)
Catégories : AUTOMATISME Index. décimale : 25-08 Robotique.Application et simulation Résumé : It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited.
Roadmap to the Future
Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications.
Trusted Guidance
A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations.
For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.Note de contenu : Table of Contents
I SENSORS AND SENSOR FUSION
Chapter 1 Visual Guidance for Autonomous Vehicles: Capability and Challenges
Chapter 2 Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
Chapter 3 Data Fusion via Kalman Filter: GPS and INS
Chapter 4 Landmarks and Triangulation in Navigation
II MODELING AND CONTROL
Chapter 5 Stabilization of Nonholonomic Systems
Chapter 6 Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
Chapter 7 Adaptive Control of Mobile Robots Including Actuator Dynamics
Chapter 8 Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers
III MAP BUILDING AND PATH PLANNING
Chapter 9 Map Building and SLAM Algorithms
Chapter 10 Motion Planning: Recent Developments
Chapter 11 Multi-Robot Cooperation
IV DECISION MAKING AND AUTONOMY
Chapter 12 Knowledge Representation and Decision Making for Mobile Robots
Chapter 13 Algorithms for Planning under Uncertainty in Prediction and Sensing
Chapter 14 Behavior-Based Coordination in Multi-Robot Systems
V SYSTEM INTEGRATION AND APPLICATIONS
Chapter 15 Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
Chapter 16 Automotive Systems/Robotic Vehicles
Chapter 17 Intelligent Systems
INDEXExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 2958 25-08-53 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2959 25-08-53 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt
Titre : Biomedical signal and image processing Type de document : texte imprimé Auteurs : Kayvan Najarian, Auteur ; Robert Splinter, Auteur Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2006 Importance : 417 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8493-2099-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each.
This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities.
Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight
Integrating all major modalities and computatonal techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional.Note de contenu : Contents:
SECTION I INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING
Chapter 1 Signals and Biomedical Signal Processing
Chapter 2 Fourier Transform
Chapter 3 Image Filtering, Enhancement, and Restoration
Chapter 4 Edge Detection and Segmentation of Images
Chapter 5 Wavelet Transform
Chapter 6 Other Signal and Image Processing Methods
Chapter 7 Clustering and Classification
SECTION II PROCESSING OF BIOMEDICAL SIGNALS
Chapter 8 Electrical Activities of Cell
Chapter 9 Electrocardiogram
Chapter 10 Electroencephalogram
Chapter 11 Electromyogram
Chapter 12 Other Biomedical Signals
SECTION III PROCESSING OF BIOMEDICAL IMAGES
Chapter 13 Principles of Computed Tomography
Chapter 14 X-Ray Imaging and Computed Tomography
Chapter 15 Magnetic resonance imaging
Chapter 16 Ultrasound Imaging
Chapter 17 Positron Emission Tomography
Chapter 18 Other Biomedical Imaging Techniques
Biomedical signal and image processing [texte imprimé] / Kayvan Najarian, Auteur ; Robert Splinter, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2006 . - 417 p. : couv. ill. en coul., ill. ; 24 cm.
ISBN : 978-0-8493-2099-6
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each.
This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities.
Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight
Integrating all major modalities and computatonal techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional.Note de contenu : Contents:
SECTION I INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING
Chapter 1 Signals and Biomedical Signal Processing
Chapter 2 Fourier Transform
Chapter 3 Image Filtering, Enhancement, and Restoration
Chapter 4 Edge Detection and Segmentation of Images
Chapter 5 Wavelet Transform
Chapter 6 Other Signal and Image Processing Methods
Chapter 7 Clustering and Classification
SECTION II PROCESSING OF BIOMEDICAL SIGNALS
Chapter 8 Electrical Activities of Cell
Chapter 9 Electrocardiogram
Chapter 10 Electroencephalogram
Chapter 11 Electromyogram
Chapter 12 Other Biomedical Signals
SECTION III PROCESSING OF BIOMEDICAL IMAGES
Chapter 13 Principles of Computed Tomography
Chapter 14 X-Ray Imaging and Computed Tomography
Chapter 15 Magnetic resonance imaging
Chapter 16 Ultrasound Imaging
Chapter 17 Positron Emission Tomography
Chapter 18 Other Biomedical Imaging Techniques
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Code-barres Cote Support Localisation Section Disponibilité 1556 35-03-05 Livre Bibliothèque de Génie Electrique- USTO Documentaires Disponible
Titre : Biosignal and Medical Image Processing Type de document : texte imprimé Auteurs : John L. Semmlow, Auteur Mention d'édition : 1st.+2nd. ed. Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2004+2009 Importance : 450 p. Présentation : couv. ill. en coul., ill. Format : 25,9 cm. Accompagnement : 1 st. ed. CDROM ISBN/ISSN/EAN : 978-1-4200-6230-4 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Just as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB® examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools.
The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets.
Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package.
Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics.Note de contenu : TABLE OF CONTENTS
chapter 1 Introduction
chapter 2 Basic Concepts
chapter 3 Spectral Analysis: Classical Methods
chapter 4 Digital Filters
chapter 5 Spectral Analysis: Modern Techniques
chapter 6 Time-Frequency Methods
chapter 7 The Wavelet Transform
chapter 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters
chapter 9 Multivariate Analyses: Principal Component Analysis and Independent Component Analysis
chapter 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox
chapter 11 Image Processing: Filters, Transformations, and Registration
chapter 12 Image Segmentation
chapter 13 Image Reconstruction
chapter 14 Classification I: linear discriminant analysis and support vector machines
chapter 15 Adaptive neural nets
-IndexBiosignal and Medical Image Processing [texte imprimé] / John L. Semmlow, Auteur . - 1st.+2nd. ed. . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2004+2009 . - 450 p. : couv. ill. en coul., ill. ; 25,9 cm. + 1 st. ed. CDROM.
ISBN : 978-1-4200-6230-4
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Just as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB® examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools.
The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets.
Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package.
Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics.Note de contenu : TABLE OF CONTENTS
chapter 1 Introduction
chapter 2 Basic Concepts
chapter 3 Spectral Analysis: Classical Methods
chapter 4 Digital Filters
chapter 5 Spectral Analysis: Modern Techniques
chapter 6 Time-Frequency Methods
chapter 7 The Wavelet Transform
chapter 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters
chapter 9 Multivariate Analyses: Principal Component Analysis and Independent Component Analysis
chapter 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox
chapter 11 Image Processing: Filters, Transformations, and Registration
chapter 12 Image Segmentation
chapter 13 Image Reconstruction
chapter 14 Classification I: linear discriminant analysis and support vector machines
chapter 15 Adaptive neural nets
-IndexExemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 1998 35-11-05 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 1999 35-11-05 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 941 35-11-05 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt
Titre : Classical feedback control : with matlab (R) and simulink (R) Type de document : texte imprimé Auteurs : Boris J. Lurie, Auteur ; Paul J. Enright, Auteur Mention d'édition : 2nd. ed. Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2012 Collection : Automation and Control Engineering Series Importance : 546 p. Présentation : couv. ill. en coul., ill. Format : 25,4 cm. ISBN/ISSN/EAN : 978-1-4398-6017-5 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : This second edition textbook describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping, and nonlinear dynamic compensation. The authors include many problems and offer practical applications, illustrations, and plots with MATLAB simulation and design examples. This text contains homework problems accompanied by actual solutions. Examples include case studies and real-world situations. Note de contenu : Contents:
1.Feedback and Sensitivity
2.Feedforward, Multiloop, and MIMO Systems
3.Frequency Response Methods
4.Shaping the Loop Frequency Response
5.Compensator Design
6.Analog Controller Implementation
7.Linear Links and System Simulation
8.Introduction to Alternative Methods of Controller Design
9.Adaptive Systems
10.Provision of Global Stability
11.Describing Functions
12.Process Instability
13.Multiwindow Controllers
Appendix 1: Feedback Control, Elementary Treatment
Appendix 2: Frequency Responses
Appendix 3: Causal Systems, Passive Systems, and Positive Real Functions
Appendix 4: Derivation of Bode Integrals
Appendix 5: Program for Phase Calculation
Appendix 6: Generic Single-Loop Feedback System
Appendix 7: Effect of Feedback on Mobility
Appendix 8: Dependence of a Function on a Parameter
Appendix 9: Balanced Bridge Feedback
Appendix 10: Phase-Gain Relation for Describing Functions
Appendix 11: Discussions
Appendix 12: Design Sequence
Appendix 13: Examples
Bibliography
Notation
IndexClassical feedback control : with matlab (R) and simulink (R) [texte imprimé] / Boris J. Lurie, Auteur ; Paul J. Enright, Auteur . - 2nd. ed. . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2012 . - 546 p. : couv. ill. en coul., ill. ; 25,4 cm.. - (Automation and Control Engineering Series) .
ISBN : 978-1-4398-6017-5
Langues : Anglais (eng)
Catégories : AUTOMATISME Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : This second edition textbook describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping, and nonlinear dynamic compensation. The authors include many problems and offer practical applications, illustrations, and plots with MATLAB simulation and design examples. This text contains homework problems accompanied by actual solutions. Examples include case studies and real-world situations. Note de contenu : Contents:
1.Feedback and Sensitivity
2.Feedforward, Multiloop, and MIMO Systems
3.Frequency Response Methods
4.Shaping the Loop Frequency Response
5.Compensator Design
6.Analog Controller Implementation
7.Linear Links and System Simulation
8.Introduction to Alternative Methods of Controller Design
9.Adaptive Systems
10.Provision of Global Stability
11.Describing Functions
12.Process Instability
13.Multiwindow Controllers
Appendix 1: Feedback Control, Elementary Treatment
Appendix 2: Frequency Responses
Appendix 3: Causal Systems, Passive Systems, and Positive Real Functions
Appendix 4: Derivation of Bode Integrals
Appendix 5: Program for Phase Calculation
Appendix 6: Generic Single-Loop Feedback System
Appendix 7: Effect of Feedback on Mobility
Appendix 8: Dependence of a Function on a Parameter
Appendix 9: Balanced Bridge Feedback
Appendix 10: Phase-Gain Relation for Describing Functions
Appendix 11: Discussions
Appendix 12: Design Sequence
Appendix 13: Examples
Bibliography
Notation
IndexExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 3620 25-04-75 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 3621 25-04-75 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt
Titre : Digital Image Processing : An Algorithmic Approach With MATLAB Type de document : texte imprimé Auteurs : Uvais Qidwai, Auteur ; C. H. Chen, Auteur Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2010 Collection : Chapman & Hall/CRC Textbooks in Computing Importance : 286 p. Présentation : couv. ill. en coul., ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-1-4200-7950-0 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Résumé : Eschewing heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.Note de contenu : Table of contents
Chapter 1 Introduction to Image Processing and the MATLAB Environment: what is an image; why image for MATLAB processing
Chapter 2 Image Acquisition, Types, and File I/O.
Chapter 3 Image Arithmetic.
Chapter 4 Affine and Logical Operations, Distortions, and Noise in Images.
Chapter 5 Image Transforms.
Chapter 6 Spatial and Frequency Domain Filter Design.
Chapter 7 Image Restoration and Blind Deconvolution.
Chapter 8 Image Compression.
Chapter 9 Edge Detection.
Chapter 10 Binary Image Processing.
Chapter 11 Image Encryption and Watermarking.
Chapter 12 Image Classification and Segmentation.
Chapter 13 Image-Based Object Tracking.
Chapter 14 Face Recognition.
Chapter 15 Soft Computing in Image Processing.
-Index.Digital Image Processing : An Algorithmic Approach With MATLAB [texte imprimé] / Uvais Qidwai, Auteur ; C. H. Chen, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2010 . - 286 p. : couv. ill. en coul., ill. ; 24,1 cm.. - (Chapman & Hall/CRC Textbooks in Computing) .
ISBN : 978-1-4200-7950-0
Langues : Anglais (eng)
Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Résumé : Eschewing heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.Note de contenu : Table of contents
Chapter 1 Introduction to Image Processing and the MATLAB Environment: what is an image; why image for MATLAB processing
Chapter 2 Image Acquisition, Types, and File I/O.
Chapter 3 Image Arithmetic.
Chapter 4 Affine and Logical Operations, Distortions, and Noise in Images.
Chapter 5 Image Transforms.
Chapter 6 Spatial and Frequency Domain Filter Design.
Chapter 7 Image Restoration and Blind Deconvolution.
Chapter 8 Image Compression.
Chapter 9 Edge Detection.
Chapter 10 Binary Image Processing.
Chapter 11 Image Encryption and Watermarking.
Chapter 12 Image Classification and Segmentation.
Chapter 13 Image-Based Object Tracking.
Chapter 14 Face Recognition.
Chapter 15 Soft Computing in Image Processing.
-Index.Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 2545 25-05-102 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2546 25-05-102 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
