Higher Education

Image Processing, Analysis & and Machine Vision - A MATLAB Companion, 1st Edition

  • Tomas Svoboda Czech Technical University, Prague
  • Jan Kybic Czech Technical University, Prague
  • Vaclav Hlavac Czech Technical University of Prague
  • ISBN-10: 0495295957  |  ISBN-13: 9780495295952
  • 256 Pages
  • © 2008 | Published
  • College Bookstore Wholesale Price = $65.50

About

Overview

This book is a companion book to the comprehensive text entitled Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle. This workbook provides additional material for readers of Sonka and is similarly structured. Written for students, teachers and practitioners to acquire practical understanding in a hands on fashion, this book provides the reader with short-answer questions, problems and selected algorithms from the main text using MATLAB in levels of varying difficulty. These resources can be used as extra practice for students to reinforce the material studied within the main text or can be useful as test materials for teachers.

Features and Benefits

  • Chapters have the same structure on the top level in the list of contents as the main text to allow the reader to work with both books easily.
  • The workbook can also be a self-contained book which can be used on its own by teachers or students who use another text.
  • This is one of the only workbooks within this area of study that provides full color images!

Table of Contents

Chapter 1 - Introduction
1.1 References

Chapter 2 - The Image, its Representation and Properties
2.1 Chapter Introduction
2.2 Short-answer Questions
2.3 Problems
2.4 References

Chapter 3 - The Image, its Mathematical and Physical Background
3.1 Chapter Introduction
3.2 Short-answer Questions
3.3 Problems
3.4 References

Chapter 4 - Data Structures for Image Analysis
4.1 Chapter Introduction
4.2 Short-answer Questions
4.3 Problems
4.4 Co-occurrence Matrix
4.5 References

Chapter 5 - Image Pre-Processing
5.1 Chapter Introduction
5.2 Short-answer Questions
5.3 Problems
5.4 Gray-scale Transformation, Histogram Equalization
5.5 Geometric Transformation
5.6 Smoothing Using a Rotation Mask
5.7 Image Sharpening by Using Laplacian
5.8 Harris Corner Detector
5.9 References

Chapter 6 - Segmentation I
6.1 Chapter Introduction
6.2 Short-answer Questions
6.3 Problems
6.4 References
6.5 Iterative Threshold Selection
6.6 Line Detection Using Hough Transform
6.7 Dynamic Programming Boundary Tracing
6.8 Region Merging via Boundary Melting
6.9 Removal of Small Regions

Chapter 7 - Segmentation II
7.1 Chapter Introduction
7.2 Short-answer Questions
7.3 Problems
7.4 Mean Shift Segmentation
7.5 Active Contours (snakes)
7.6 Gradient Vector Flow Snakes
7.7 Level Sets
7.8 Graph Cut Segmentation
7.9 References

Chapter 8 - Shape Representation and Description
8.1 Chapter Introduction
8.2 Short-answer Questions
8.3 Problems
8.4 References

Chapter 9 - Object Recognition
9.1 Chapter Introduction
9.2 Short-answer Questions
9.3 Problems
9.4 References

Chapter 10 - Image Understanding
10.1 Chapter Introduction
10.2 Short-answer Questions
10.3 Problems
10.4 References

Chapter 11 - 3D Vision, Geometry
11.1 Chapter Introduction
11.2 Short-answer Questions
11.3 Problems
11.4 Mathematical Description of a Camera
11.5 Visualize a Camera in a 3D Plot
11.6 Conversion of Rotation Parameters
11.7 RQ Matrix Decomposition
11.8 Homography Estimation From Point Correspondences -DLT Method
11.8.1 Example of Homography Mapping
11.9 Isotropic Point Normalization
11.10 3D Point Reconstruction - Linear Method
11.11 References

Chapter 12 - Use of 3D Vision
12.1 Chapter Introduction
12.2 Short-answer Questions
12.3 Problems
12.4 References

Chapter 13 - Mathematical Morphology
13.1 Chapter Introduction
13.2 Short-answer Questions
13.3 Problems
13.4 References

Chapter 14 - Image Data Compression
14.1 Chapter Introduction
14.2 Short-answer Questions
14.3 Problems
14.4 References

Chapter 15 - Texture
15.1 Chapter Introduction
15.2 Short-answer Questions
15.3 Problems
15.4 References

Chapter 16 - Motion Analysis
16.1 Chapter Introduction
16.2 Short-answer Questions
16.3 Problems
16.4 Particle Filtering
16.5 Kernel-Based Tracking
16.6 References

What's New

  • The problems were selected to demonstrate important aspects of the study material. Some problems are intended to be solved by hand while others require the practical use of computer tools and/or developmemt ot short application programs.

Alternate Formats

Choose the format that best fits your student's budget and course goals

To customize your learning solution, contact your Learning Consultant for more information.

  • International Student Edition

    ISBN-10: 0495296007 | ISBN-13: 9780495296003

    List Price = $95.95  | College Bookstore Wholesale Price = $72.50

Meet the Author

Author Bio

Vaclav Hlavac

Vaclav Hlavac is Professor of Cybernetics at the Czech Technical University, Prague. his research interests are knowledge based image analysis, 3D model-based vision and relations between statistical and structural pattern recognition.