Mathematical Foundations of Image Processing and Analysis: Volume 2

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Opis: Mathematical Foundations of Image Processing and Analysis: Volume 2 - Jean-Charles Pinoli

Image processing and image analysis are typically important fields in information science and technology. By image processing, we generally understand all kinds of operation performed on images (or sequences of images) in order to increase their quality, restore their original content, emphasize some particular aspect of the information or optimize their transmission, or to perform radiometric and/or spatial analysis. By image analysis we understand, however, all kinds of operation performed on images (or sequences of images) in order to extract qualitative or quantitative data, perform measurements and apply statistical analysis. Whereas there are nowadays many books dealing with image processing, only a small number deal with image analysis. The methods and techniques involved in these fields of course have a wide range of applications in our daily world: industrial vision, material imaging, medical imaging, biological imaging, multimedia applications, satellite imaging, quality control, traffic control, and so on.Preface xvii Introduction xxv Part 5 Twelve Main Geometrical Frameworks for Binary Images 1 Chapter 21 The Set-Theoretic Framework 3 Chapter 22 The Topological Framework 9 Chapter 23 The Euclidean Geometric Framework 23 Chapter 24 The Convex Geometric Framework 37 Chapter 25 the Morphological Geometric Framework 47 Chapter 26 The Geometric and Topological Framework 57 Chapter 27 The Measure-Theoretic Geometric Framework 71 Chapter 28 The Integral Geometric Framework 89 Chapter 29 The Differential Geometric Framework 111 Chapter 30 The Variational Geometric Framework 129 Chapter 31 The Stochastic Geometric Framework 135 Chapter 32 The Stereological Framework 159 Part 6 Four Specific Geometrical Framework for Binary Images 177 Chapter 33 The Granulometric Geometric Framework 179 Chapter 34 The Morphometric Geometric Framework 189 Chapter 35 The Fractal Geometric Framework 211 Chapter 36 The Textural Geometric Framework 229 Part 7 Four 'Hybrid' Framework for Gray-Tone and Binary Images 241 Chapter 37 The Interpolative Framework 243 Chapter 38 The Bounded-Variation Framework 253 Chapter 39 The Level Set Framework 269 Chapter 40 The Distance-Map Framework 281 Concluding Discussion and Perspectives 295 Appendices 301 Tables of Notations and Symbols 303 Table of Acronyms 341 Table of Latin Phrases 347 Bibliography 349 Index of Authors 435 Index of Subjects 445


Szczegóły: Mathematical Foundations of Image Processing and Analysis: Volume 2 - Jean-Charles Pinoli

Tytuł: Mathematical Foundations of Image Processing and Analysis: Volume 2
Autor: Jean-Charles Pinoli
Producent: ISTE Publishing Company
ISBN: 9781848217485
Rok produkcji: 2014
Ilość stron: 496
Oprawa: Twarda
Waga: 0.87 kg


Recenzje: Mathematical Foundations of Image Processing and Analysis: Volume 2 - Jean-Charles Pinoli

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Mathematical Foundations of Image Processing and Analysis: Volume 2

Image processing and image analysis are typically important fields in information science and technology. By image processing, we generally understand all kinds of operation performed on images (or sequences of images) in order to increase their quality, restore their original content, emphasize some particular aspect of the information or optimize their transmission, or to perform radiometric and/or spatial analysis. By image analysis we understand, however, all kinds of operation performed on images (or sequences of images) in order to extract qualitative or quantitative data, perform measurements and apply statistical analysis. Whereas there are nowadays many books dealing with image processing, only a small number deal with image analysis. The methods and techniques involved in these fields of course have a wide range of applications in our daily world: industrial vision, material imaging, medical imaging, biological imaging, multimedia applications, satellite imaging, quality control, traffic control, and so on.Preface xvii Introduction xxv Part 5 Twelve Main Geometrical Frameworks for Binary Images 1 Chapter 21 The Set-Theoretic Framework 3 Chapter 22 The Topological Framework 9 Chapter 23 The Euclidean Geometric Framework 23 Chapter 24 The Convex Geometric Framework 37 Chapter 25 the Morphological Geometric Framework 47 Chapter 26 The Geometric and Topological Framework 57 Chapter 27 The Measure-Theoretic Geometric Framework 71 Chapter 28 The Integral Geometric Framework 89 Chapter 29 The Differential Geometric Framework 111 Chapter 30 The Variational Geometric Framework 129 Chapter 31 The Stochastic Geometric Framework 135 Chapter 32 The Stereological Framework 159 Part 6 Four Specific Geometrical Framework for Binary Images 177 Chapter 33 The Granulometric Geometric Framework 179 Chapter 34 The Morphometric Geometric Framework 189 Chapter 35 The Fractal Geometric Framework 211 Chapter 36 The Textural Geometric Framework 229 Part 7 Four 'Hybrid' Framework for Gray-Tone and Binary Images 241 Chapter 37 The Interpolative Framework 243 Chapter 38 The Bounded-Variation Framework 253 Chapter 39 The Level Set Framework 269 Chapter 40 The Distance-Map Framework 281 Concluding Discussion and Perspectives 295 Appendices 301 Tables of Notations and Symbols 303 Table of Acronyms 341 Table of Latin Phrases 347 Bibliography 349 Index of Authors 435 Index of Subjects 445

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Cena 712,01 PLN
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Wysyłka: Niedostępna
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Szczegóły: Mathematical Foundations of Image Processing and Analysis: Volume 2 - Jean-Charles Pinoli

Tytuł: Mathematical Foundations of Image Processing and Analysis: Volume 2
Autor: Jean-Charles Pinoli
Producent: ISTE Publishing Company
ISBN: 9781848217485
Rok produkcji: 2014
Ilość stron: 496
Oprawa: Twarda
Waga: 0.87 kg


Recenzje: Mathematical Foundations of Image Processing and Analysis: Volume 2 - Jean-Charles Pinoli

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