Gain a firm understanding of image processing as you cover the major topics of the field using a balanced approach that progresses from simple explanations to more detailed descriptions within IMAGE PROCESSING AND ANALYSIS. This easy-to-follow, accessible book emphasizes a basic, fundamental understanding of the classic algorithms in the field while also highlighting recent research results. You can grasp the subtle tradeoffs among different approaches as well as understand them in context with the latest developments in the field. Numerous full-color illustrations and detailed pseudocode bridge the gap between mathematical equations underlying the important concepts and real-world application of those concepts. This understanding makes it easier for you to program your own implementations of these algorithms. In addition, consistent notation throughout this edition makes it easier to follow the various concepts.

- 738 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Image Processing and Analysis
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Information
Problems
19
1-22
Convert
the
following
3
3
2
binary
image
back
to
array
notation:
{(1,
0),
(0,
1),
(2,
1)}.
1-23
Consider
the
following
2D
array,
which
has
3
columns
and
2
rows:
B
167
30
245
41
127
87
R
.
a.
If
the
array
is
an
image
I
,
what
is
the
value
of
I
(1,
1)?
b.
If
it
is
a
matrix
A
,
what
is
the
value
of
a
11
?
c.
In
which
case
would
you
write
the
dimensions
as
2
3
3?
As
3
3
2?
1-24
List
three
mathematical
prerequisites
for
studying
the
material
in
this
book.
1-25
Explain
the
difference
between
a
convergent
problem
and
a
divergent
problem.
1-26
Briefly
explain
why
computer
vision
is
so
difficult.
1-27
Download
a
software
library
(e.g.,
OpenCV),
and
write
a
program
to
load
an
image
from
a
file
and
display
it
in
a
window.
Copyright
2018
Cengage
Learning.
All
Rights
Reserved.
May
not
be
copied,
scanned,
or
duplicated,
in
whole
or
in
part.
WCN
02-
300
Table of contents
- Cover
- Brief Contents
- Contents
- Preface
- Acknowledgments
- Ch 1: Introduction
- Ch 2: Fundamentals of Imaging
- Ch 3: Point and Geometric Transformations
- Ch 4: Binary Image Processing
- Ch 5: Spatial-Domain Filtering
- Ch 6: Frequency-Domain Processing
- Ch 7: Edges and Features
- Ch 8: Compression
- Ch 9: Color
- Ch 10: Segmentation
- Ch 11: Model Fitting
- Ch 12: Classification
- Ch 13: Stereo and Motion
- Bibliography
- Index
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Yes, you can access Image Processing and Analysis by Stan Birchfield in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.