Titre :	Computer imaging : digital image analysis and processing
Type de document :	texte imprimé
Auteurs :	Scott E. Umbaugh, Auteur
Editeur :	Boca Raton, Floida : CRC Press/Taylor & Françis Group
Année de publication :	2005
Importance :	659 p.
Présentation :	couv. ill. en en coul
Format :	26 cm.
ISBN/ISSN/EAN :	978-0-84932-919-7
Langues :	Anglais (eng)
Catégories :	AUTOMATISME
Index. décimale :	25-05 Application du traitement numérique du signal
Résumé :	Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development. Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter. The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.
Note de contenu :	Contents Section I INTRODUCTION TO COMPUTER IMAGING Chapter 1 Computer Imaging 1.1 Overview 1.2 Image Analysis and Computer Vision 1.3 Image Processing Chapter 2 Computer Imaging Systems 2.1 Imaging Systems Overview 2.2 Image Formation and Sensing 2.3 The CVIPtools Software 2.4 Image Representation Section II DIGITAL IMAGE ANALYSIS Chapter 3 Introduction to Digital Image Analysis 3.2 Preprocessing 3.3 Binary Image Analysis Chapter 4 Segmentation and Edge/Line Detection 4.1 Introduction and Overview 4.2 Edge/Line Detection 4.3 Segmentation Chapter 5 Discrete Transforms 5.1 Introduction and Overview 5.2 Fourier Transform 5.3 Cosine Transform 5.4 Walsh-Hadamard Transform 5.5 Haar Transform 5.6 Principal Components Transform 5.7 Filtering 5.8 Wavelet Transform Chapter 6 Feature Analysis and Pattern Classification 6.1 Introduction and Overview 6.2 Feature Extraction 6.3 Feature Analysis 6.4 Pattern Classification Section III DIGITAL IMAGE PROCESSING Chapter 7 Digital Image Processing and Visual Perception 7.1 Introduction and Overview 7.2 Human Visual Perception 7.3 Image Fidelity Criteria Chapter 8 Image Enhancement 8.1 Introduction and Overview 8.2 Gray-Scale Modification 8.3 Image Sharpening 8.4 Image Smoothing Chapter 9 Image Restoration 9.1 Introduction and Overview 9.2 Noise Models 9.3 Noise Removal Using Spatial Filters 9.4 The Degradation Function 9.5 Frequency Domain Filters 9.6 Geometric Transforms Chapter 10 Image Compression 10.1 Introduction and Overview 10.2 Lossless Compression Methods 10.3 Lossy Compression Methods Section IV PROGRAMMING WITH CVIPTOOLS Chapter 11 CVIPlab 11.1 Introduction to CVIPlab 11.2 Toolkits, Toolbox and Application Libraries 11.3 Compiling and Linking CVIPlab 11.4 Image Data and File Structures 11.5 CVIP Projects Chapter 12 CVIPtools C Function Libraries 12.1 Introduction and Overview 12.2 Arithmetic and Logic Library 12.3 Band Image Library 12.4 Color Image Library 12.5 Compression Library 12.6 Conversion Library 12.7 Display Library 12.8 Feature Extraction Library 12.9 Geometry Library 12.10 Histogram Library 12.11 Image Library 12.12 Data Mapping Library 12.13 Morphological Library 12.14 Noise Library 12.15 Segmentation Library 12.16 Spatial Filter Library 12.17 Transform Library 12.18 Transform Filter Library Section V APPENDICES Key Points References and Further Reading Exercises
En ligne :	data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBUWFRgVFhYYGBgaHBwcG [...]

Computer imaging : digital image analysis and processing [texte imprimé] / Scott E. Umbaugh, Auteur . - Boca Raton, Floida : CRC Press/Taylor & Françis Group, 2005 . - 659 p. : couv. ill. en en coul ; 26 cm.
ISBN : 978-0-84932-919-7
Langues : Anglais (eng)

Catégories :	AUTOMATISME
Index. décimale :	25-05 Application du traitement numérique du signal
Résumé :	Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development. Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter. The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.
Note de contenu :	Contents Section I INTRODUCTION TO COMPUTER IMAGING Chapter 1 Computer Imaging 1.1 Overview 1.2 Image Analysis and Computer Vision 1.3 Image Processing Chapter 2 Computer Imaging Systems 2.1 Imaging Systems Overview 2.2 Image Formation and Sensing 2.3 The CVIPtools Software 2.4 Image Representation Section II DIGITAL IMAGE ANALYSIS Chapter 3 Introduction to Digital Image Analysis 3.2 Preprocessing 3.3 Binary Image Analysis Chapter 4 Segmentation and Edge/Line Detection 4.1 Introduction and Overview 4.2 Edge/Line Detection 4.3 Segmentation Chapter 5 Discrete Transforms 5.1 Introduction and Overview 5.2 Fourier Transform 5.3 Cosine Transform 5.4 Walsh-Hadamard Transform 5.5 Haar Transform 5.6 Principal Components Transform 5.7 Filtering 5.8 Wavelet Transform Chapter 6 Feature Analysis and Pattern Classification 6.1 Introduction and Overview 6.2 Feature Extraction 6.3 Feature Analysis 6.4 Pattern Classification Section III DIGITAL IMAGE PROCESSING Chapter 7 Digital Image Processing and Visual Perception 7.1 Introduction and Overview 7.2 Human Visual Perception 7.3 Image Fidelity Criteria Chapter 8 Image Enhancement 8.1 Introduction and Overview 8.2 Gray-Scale Modification 8.3 Image Sharpening 8.4 Image Smoothing Chapter 9 Image Restoration 9.1 Introduction and Overview 9.2 Noise Models 9.3 Noise Removal Using Spatial Filters 9.4 The Degradation Function 9.5 Frequency Domain Filters 9.6 Geometric Transforms Chapter 10 Image Compression 10.1 Introduction and Overview 10.2 Lossless Compression Methods 10.3 Lossy Compression Methods Section IV PROGRAMMING WITH CVIPTOOLS Chapter 11 CVIPlab 11.1 Introduction to CVIPlab 11.2 Toolkits, Toolbox and Application Libraries 11.3 Compiling and Linking CVIPlab 11.4 Image Data and File Structures 11.5 CVIP Projects Chapter 12 CVIPtools C Function Libraries 12.1 Introduction and Overview 12.2 Arithmetic and Logic Library 12.3 Band Image Library 12.4 Color Image Library 12.5 Compression Library 12.6 Conversion Library 12.7 Display Library 12.8 Feature Extraction Library 12.9 Geometry Library 12.10 Histogram Library 12.11 Image Library 12.12 Data Mapping Library 12.13 Morphological Library 12.14 Noise Library 12.15 Segmentation Library 12.16 Spatial Filter Library 12.17 Transform Library 12.18 Transform Filter Library Section V APPENDICES Key Points References and Further Reading Exercises
En ligne :	data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBUWFRgVFhYYGBgaHBwcG [...]