Digital Image Processing and Analysis
Crc Press Inc (Verlag)
978-1-4398-0205-2 (ISBN)
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Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now.
Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework.
Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field.
With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC).
Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.
Southern Illinois University, Edwardsville, USA
Section I Introduction to Digital Image Processing and Analysis
Digital Image Processing and Analysis
Overview
Image Analysis and Computer Vision
Image Processing and Human Vision
Key Points
Exercises
References
Further Reading
Computer Imaging Systems
Imaging Systems Overview
Image Formation and Sensing
CVIPtools Software
Image Representation
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Section II Digital Image Analysis and Computer Vision
Introduction to Digital Image Analysis
Introduction
Preprocessing
Binary Image Analysis
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Segmentation and Edge/Line Detection
Introduction and Overview
Edge/Line Detection
Segmentation
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Discrete Transforms
Introduction and Overview
Fourier Transform
Discrete Cosine Transform
Discrete Walsh–Hadamard Transform
Discrete Haar Transform
Principal Components Transform
Filtering
Discrete Wavelet Transform
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Feature Analysis and Pattern Classification
Introduction and Overview
Feature Extraction
Feature Analysis
Pattern Classification
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Section III Digital Image Processing and Human Vision
Digital Image Processing and Visual Perception
Introduction and Overview
Human Visual Perception
Image Fidelity Criteria
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Image Enhancement
Introduction and Overview
Gray-Scale Modification
Image Sharpening
Image Smoothing
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Image Restoration and Reconstruction
Introduction and Overview
Noise Models
Noise Removal Using Spatial Filters
Degradation Function
Frequency Domain Filters
Geometric Transforms
Image Reconstruction
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Image Compression
Introduction and Overview
Lossless Compression Methods
Lossy Compression Methods
Key Points
Exercises
Supplementary Exercises
References
Further Reading
Section IV Programming and Application Development with CVIPtools
CVIPlab
Introduction to CVIPlab
Toolkits, Toolboxes, and Application Libraries
Compiling and Linking CVIPlab
Image Data and File Structures
CVIP Projects
Application Development
Introduction and Overview
CVIP Algorithm Test and Analysis Tool
CVIP Feature Extraction and Pattern Classification Tool
Skin Lesion Classification Using Relative Color Features
Automatic Segmentation of Blood Vessels in Retinal Images
Classification of Land Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptrons
Watershed-Based Approach to Skin Lesion Border Segmentation
Faint Line Defect Detection in Microdisplay (CCD) Elements
Melanoma and Seborrheic Keratosis Differentiation Using Texture Features
Compression of Color Skin Tumor Images with Vector Quantization
References
CVIPtools C® Function Libraries
Introduction and Overview
Arithmetic and Logic Library: ArithLogic.lib
Band Image Library: Band.lib
Color Image Library: Color.lib
Compression Library: Compression.lib
Conversion Library: Conversion.lib
Display Library: Display.lib
Feature Extraction Library: Feature.lib
Geometry Library: Geometry.lib
Histogram Library: Histogram.lib
Image Library: Image.lib
Data Mapping Library: Mapping.lib
Morphological Library: Morphological.lib
Noise Library: Noise.lib
Segmentation Library: Segmentation.lib
Spatial Filter Library: SpatialFilter.lib
Transform Library: Transform.lib
Transform Filter Library: TransformFilter.lib
Section V Appendices
CVIPtools CD
Installing and Updating CVIPtools
CVIPtools Software Organization
CVIPtools C® Functions
Common Object Module (COM) Functions: cviptools.dll
CVIP Resources
Index
| Erscheint lt. Verlag | 19.1.2011 |
|---|---|
| Zusatzinfo | N/A; 15; 525 Halftones, black and white; 47 Tables, color; 47 Tables, black and white; 1172 Illustrations, color; 1172 Illustrations, black and white |
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 2204 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| ISBN-10 | 1-4398-0205-X / 143980205X |
| ISBN-13 | 978-1-4398-0205-2 / 9781439802052 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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