Image Analysis

by Yujin Zhang, Tsinghua University Press (Contribution by)

Overview

This graduate textbook presents fundamentals, applications and evaluation of image segregation, unit description, feature measurement and pattern recognition. Analysis on textile, shape and motion are discussed and mathematical tools are employed extensively. Rich in examples and excises, it prepares electrical engineering and computer science students with knowledge and skills for further studies on image understanding.

Product Details

ISBN-13:	9783110524284
Publisher:	De Gruyter
Publication date:	08/07/2017
Series:	De Gruyter Textbook
Sold by:	Barnes & Noble
Format:	eBook
Pages:	310
File size:	20 MB
Note:	This product may take a few minutes to download.
Age Range:	18 Years

About the Author

Yujin Zhang, Tsinghua University, Beijing, China

Table of Contents

Table of Content:
Chapter 1 Image Segmentation
1.1 Definition and Classification
1.2 Basic Technique Groups
1.3 Extension and Generation
1.4 Segmentation Evaluation
1.5 Summary
Problems, Further Reading
Chapter 2 Object Representation and Description
2.1 Classification of Representation and Description
2.2 Boundary-Based Representation
2.3 Region-Based Representation
2.4 Transform-Based Representation
2.5 Descriptors for Boundary
2.6 Descriptors for Region
2.7 Summary
Problems, Further Reading
Chapter 3 Feature Measurement and Error Analysis
3.1 Direct and Indirect Measurements
3.2 Accuracy and Precision
3.3 Two Types of Connectivity
3.4 Feature Measurement Error
3.5 Error Analysis
3.6 Summary
Problems, Further Reading
Chapter 4 Texture Analysis
4.1 Concepts and Classification
4.2 Statistical Approaches
4.3 Structural Approaches
4.4 Spectral Approaches
4.5 Texture Categorization
4.6 Texture Segmentation
4.7 Summary
Problems, Further Reading
Chapter 5 Shape Analysis
5.1 Definitions and Tasks
5.2 Different Classes of 2-D Shapes
5.3 Shape Property Description
5.4 Technique Based Descriptors
5.5 Wavelet Boundary Descriptors
5.6 Fractal Geometry
5.7 Summary
Problems, Further Reading

Editorial Reviews

„Sehr gut zur Vertiefung geeignet."
Prof. Dr. Günther Görz, Friedrich-Alexander-Universität Erlangen-Nürnberg

From the Publisher