Handbook of Image Engineering / by Yu-Jin Zhang.

Format:

Book

Author/Creator:

Zhang, Yu-Jin., Author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Image processing-Digital techniques.

Computer vision.

Machine learning.

Multimedia systems.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Multimedia Information Systems.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Multimedia Information Systems.

Physical Description:

1 online resource (XXXII, 1967 pages) : 790 illustrations, 618 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

Image techniques have been developed and implemented for various purposes, and image engineering (IE) is a rapidly evolving, integrated discipline comprising the study of all the different branches of image techniques, and encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science and automation. Advances in the field are also closely related to the development of telecommunications, biomedical engineering, remote sensing, surveying and mapping, as well as document processing and industrial applications. IE involves three related and partially overlapping groups of image techniques: image processing (IP) (in its narrow sense), image analysis (IA) and image understanding (IU), and the integration of these three groups makes the discipline of image engineering an important part of the modern information era. This is the first handbook on image engineering, and provides a well-structured, comprehensive overview of this new discipline. It also offers detailed information on the various image techniques. It is a valuable reference resource for R&D professional and undergraduate students involved in image-related activities.

Contents:

Part 1 Image Fundamentals

1 Image Basics

2 Image Engineering

3 Image Acquisition Devices

4 Image Acquisition Modes

5 Image Digitization

6 Image Display and Printing

7 Image Storage and Communication

8 Related Knowledge

Part 2 Image Processing

9 Pixel Spatial Relationship

10 Image Transforms

11 Point Operations for Spatial Domain Enhancement

12 Mask Operations for Spatial Domain Enhancement

13 Frequency Domain Filtering

14 Image Restoration

15 Image Repair and Recovery

16 Image Reconstruction from Projection

17 Image Coding

18 Image Watermarking

19 Image Information Security

20 Color Image Processing

21 Video Image Processing

22 Multi-Resolution Image

Part 3 Image Analysis

23 Segmentation Introduction

24 Edge Detection

25 Object Segmentation Methods

26 Segmentation Evaluation

27 Object Representation

28 Object Description

29 Feature Measurement and Error Analysis

30 Texture Analysis

31 Shape Analysis

32 Motion Analysis

33 Image Pattern Recognition

34 Biometric Recognition

Part 4 Image Understanding

35 Theory of Image Understanding

36 3-D Representation and Description

37 Stereo Vision

38 Multi-image 3-D Scene Reconstruction

39 Single-image 3D Scene Reconstruction

40 Knowledge and Learning

41 General Image Matching

42 Scene Analysis and Interpretation

43 Image Information Fusion

44 Content-Based Retrieval

45 Spatial-Temporal Behavior Understanding

Part 5 Related References

46 Related Theories and Techniques

47 Optics

48 Mathematical Morphology for Binary Images

49 Mathematical Morphology for Gray-Level Images

50 Visual Sensation and Perception

51 Application of Image Technology

52 International Organizations and Standards.

Other Format:

Printed edition:

ISBN:

978-981-15-5873-3

9789811558733

Access Restriction:

Restricted for use by site license.