Handbook of Image Engineering
Autor Yu-Jin Zhangen Limba Engleză Paperback – 9 dec 2020
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.
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Specificații
ISBN-13: 9789811558740
ISBN-10: 9811558744
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2021
Editura: Springer
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811558744
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2021
Editura: Springer
Colecția Springer
Locul publicării:Singapore, Singapore
Cuprins
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
Notă biografică
Yu-Jin
ZHANG
received
his
Ph.D.
in
Applied
Science
from
the
State
University
of
Liège,
Belgium,
in
1989.
From
1989
to
1993,
he
was
a
post-doctoral
fellow
and
research
fellow
at
the
Delft
University
of
Technology,
in
the
Netherlands.
In
1993,
he
joined
Tsinghua
University,
Beijing,
China,
where
he
has
been
a
Professor
since
1997.
He has published over 500 research papers and book chapters, as well as more than 40 books, including three monographs: "Image Segmentation," "Content-based Visual Information Retrieval," and "Subspace-based Face Recognition," one dictionary: "An English-Chinese Dictionary of Image Engineering" (1st edition and 2nd edition), and three edited books: "Advances in Image and Video Segmentation" and "Semantic-Based Visual Information Retrieval" (IRM Press, USA), and "Advances in Face Image Analysis: Techniques and Technologies " (IGI Global, USA).
He was/is the Vice President of the China Society of Image and Graphics (2002 ~ 2011, 2016 ~), the associate editor of "Pattern Recognition Letters," the "International Journal of Image and Graphics," "Optical Engineering," "Journal of Electronics and Information," "Journal of CAD and Computer Graphics," "Signal Processing," and "Acta Automatica Sinica". He was the program chair of "The Twenty-Fourth International Conference on Image Processing (ICIP'2017), as well as a number of international conferences. He has been a senior member of IEEE (since 1999), and a fellow of SPIE (since 2011).
He has published over 500 research papers and book chapters, as well as more than 40 books, including three monographs: "Image Segmentation," "Content-based Visual Information Retrieval," and "Subspace-based Face Recognition," one dictionary: "An English-Chinese Dictionary of Image Engineering" (1st edition and 2nd edition), and three edited books: "Advances in Image and Video Segmentation" and "Semantic-Based Visual Information Retrieval" (IRM Press, USA), and "Advances in Face Image Analysis: Techniques and Technologies " (IGI Global, USA).
He was/is the Vice President of the China Society of Image and Graphics (2002 ~ 2011, 2016 ~), the associate editor of "Pattern Recognition Letters," the "International Journal of Image and Graphics," "Optical Engineering," "Journal of Electronics and Information," "Journal of CAD and Computer Graphics," "Signal Processing," and "Acta Automatica Sinica". He was the program chair of "The Twenty-Fourth International Conference on Image Processing (ICIP'2017), as well as a number of international conferences. He has been a senior member of IEEE (since 1999), and a fellow of SPIE (since 2011).
Textul de pe ultima copertă
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.
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.
Caracteristici
The
first
handbook
covering
the
full
spectrum
of
image
engineering
Offers an expert insight into the disciplinary structure of image engineering
Internal cross-references/link made the book easy to use and self-contained
Offers an expert insight into the disciplinary structure of image engineering
Internal cross-references/link made the book easy to use and self-contained