Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transportation, communication systems, and space exploration are just a few of the application areas. This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition. It provides more material for illustrating the concepts, along with new PowerPoint slides. The application development has been expanded and updated, and the related chapter provides step-by-step tutorial examples for this type of development. The new edition also includes supplementary exercises, as well as MATLAB-based exercises, to aid both the reader and student in development of their skills.
Table of Contents:
Preface
Acknowledgments
Author
Section I Introduction to Digital Image Processing and Analysis
1 Digital Image Processing and Analysis
2 Digital Image Processing Systems
Section II Digital Image Analysis and Computer Vision
3 Introduction to Digital Image Analysis
4 Segmentation and Edge/Line Detection
5 Discrete Transforms
6 Feature Analysis and Pattern Classification
Section III Digital Image Processing and Human Vision
7 Digital Image Processing and Visual Perception
8 Image Enhancement
9 Image Restoration and Reconstruction
10 Image Compression
Section IV Application Development with the Matlab CVIP Toolbox and CVIPtools
11 Matlab CVIP Toolbox and CVIPlab
12 Application Development
Appendices
Index