Combines image analysis and image processing into the unified framework that is necessary for understanding computer vision and image processing applications
Integrates theoretical material with an engineering approach
Introduces an image analysis model that serves as a foundation for the imaging tools discussed
Includes a CD-ROM containing a complete CVIPtools environment, book figures in linked html format, and Word documents of all original figures
Provides tutorial and programming exercises in each chapter using CVIPtools, enabling hands-on experience and insight into algorithms and parameters
Offers imaging examples and links to other imaging sites via an accompanying Web site
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.
Table of Contents
INTRODUCTION TO COMPUTER IMAGING Computer Imaging Overview Image Analysis and Computer Vision Image Processing Key Points References and Further Reading Exercises
Computer Imaging Systems Imaging Systems Overview Image Formation and Sensing The CVIPtools Software Image Representation Key Points References and Further Reading Exercises
DIGITAL IMAGE ANALYSIS Introduction to Digital Image Analysis Introduction Preprocessing Binary Image Analysis Key Points References and Further Reading Exercises
Segmentation and Edge/Line Detection Introduction and Overview Edge/Line Detection Segmentation Key Points References and Further Reading Exercises
Discrete Transforms Introduction and Overview Fourier Transform Cosine Transform Walsh-Hadamard Transform Haar Transform Principal Components Transform Filtering Wavelet Transform Key Points References and Further Reading Exercises
Feature Analysis and Pattern Classification Introduction and Overview Feature Extraction Feature Analysis Pattern Classification Key Points References and Further Reading Exercises
DIGITAL IMAGE PROCESSING Digital Image Processing and Visual Perception Introduction and Overview Human Visual Perception Image Fidelity Criteria Key Points References and Further Reading Exercises
Image Enhancement Introduction and Overview Gray-Scale Modification Image Sharpening Image Smoothing Key Points References and Further Reading Exercises
Image Restoration Introduction and Overview Noise Models Noise Removal Using Spatial Filters The Degradation Function Frequency Domain Filters Geometric Transforms Key Points References and Further Reading Exercises
Image Compression Introduction and Overview Lossless Compression Methods Lossy Compression Methods Key Points References and Further Reading Exercises
PROGRAMMING WITH CVIPTOOLS CVIPlab Introduction to CVIPlab Toolkits, Toolbox and Application Libraries Compiling and Linking CVIPlab Image Data and File Structures CVIP Projects
CVIPtools C Function Libraries Introduction and Overview Arithmetic and Logic Library Band Image Library Color Image Library Compression Library Conversion Library Display Library Feature Extraction Library Geometry Library Histogram Library Image Library Data Mapping Library Morphological Library Noise Library Segmentation Library Spatial Filter Library Transform Library Transform Filter Library
APPENDICES CD-ROM/Software Configuring and Updating CVIPtools CVIPtools C functions CVIP Resources
CVIPtools Software Organization COM functions - cviptools.dll
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