... xix
1
Introduction 15
1.1 What Is DigitalImage Processing? 15
1.2 The Origins of DigitalImageProcessing 17
1.3 Examples of Fields that Use DigitalImageProcessing 21
1.3.1 Gamma-Ray Imaging ... Used 34
1.4 Fundamental Steps in DigitalImageProcessing 39
1.5 Components of an ImageProcessing System 42
Summary 44
References and Further Reading 45
2
Digital Image Fundamentals 34
2.1 Elements ... Representing Digital Images 54
2.4.3 Spatial and Gray-Level Resolution 57
2.4.4 Aliasing and Moiré Patterns 62
2.4.5 Zooming and Shrinking Digital Images 64
vii
GONZFM-i-xxii. 5-10-2001 14:22 Page vii
Digital...
... image
processing is intimately tied to the development of the digital computer. In fact,
digital images require so much storage and computational power that progress
in the field of digitalimage ... overlap be-
tween imageprocessing and image analysis is the area of recognition of indi-
vidual regions or objects in an image. Thus, what we call in this book digital
imageprocessing encompasses ... involve digital images, they are not con-
sidered digitalimageprocessing results in the context of our definition because
computers were not involved in their creation.Thus, the history of digital...
... et des images English] Information fusion in signal and
image processing / edited by Isabelle Bloch.
p. cm.
Includes index.
ISBN 978-1-84821-019-6
1. Signal processing. 2. Image processing. ... Fusion
Chapter 3. Fusion in ImageProcessing 47
Isabelle B
LOCH and Henri MAÎTRE
3.1. Objectives of fusion in imageprocessing 47
3.2.Fusionsituations 50
3.3. Data characteristics in image fusion . 51
3.4. ... and insist on what makes fusion
in imageprocessing different from most of the other application fields in fusion.
3.1. Objectives of fusion in image processing
Images appeared of course very early...
...
Digital ImageProcessing – Part II
54
Morphological Image Processing
(a)
(c)
(d)
(b)
Digital ImageProcessing – Part II
87
Image Segmentation
(a) (b)
(c)
(a)
(b)
Digital Image ... compartments
(a)
(b)
Digital ImageProcessing – Part II
13
Colour Image Processing
(b)
Figure 5 Illustration of intensity slicing and colour assignment.
Digital ImageProcessing – Part II
10
Colour Image ...
(a)
(b)
(c)
(a)
(b)
(c)
Digital ImageProcessing – Part II
59
Morphological Image Processing
Figure 43 Example of morphological reconstruction.(a) A binary image of the blobs as the mask
image; (b)...
... corrections and
image registration also are covered.
Chapter 6: Color Image Processing. This chapter deals with pseudocolor and
full-color image processing. Color models applicable to digitalimage process-
ing ... ImageProcessing Toolbox,
also are available.
Areas of ImageProcessing Covered in the Book
Every chapter in this book contains the pertinent MATLAB and IPT material
needed to implement the image ... for the solution of a broad class of
problems in digitalimage processing.
Background
An important characteristic underlying the design of imageprocessing sys-
tems is the significant level of...
... 250
0
5000
10000
15000
c
a b
d
FIGURE 3.7 Various
ways to plot an
image histogram.
(a)
imhist,
(b)
bar,
(c)
stem,
(d)
plot.
Digital Image
Processing
Using MATLAB
®
Second Edition
Rafael C. Gonzalez
University ... numerous other branches of digitalimage processing.
3.1 Background
As noted in the preceding paragraph, spatial domain techniques operate di-
rectly on the pixels of an image. The spatial domain ... the same
coordinates
(, )xy
in the images.
y
x
Origin
(x, y)
Image f (x, y)
FIGURE 3.1
A neighborhood
of size
33*
centered at point
(, )xy
in an image.
3.2 ■ Background 83
g = imcomplement(f)
Figure...
... ®nite
Digital Image Processing
Second Edition
Instructorzs Manual
Rafael C. Gonzalez
Richard E. Woods
Prentice Hall
Upper Saddle River, NJ 07458
www.prenhall.com/gonzalezwoods
or
www.imageprocessingbook.com
10 ... projects
and digital images frees the instructor from having to prepare experiments, data, and
handouts for students. The fact that most of the images in the book are available for
downloading ... and h(x; y) denote the image and the ®lter function, respectively.
Assuming square images of size N £N for convenience, we can express f(x; y) as the
sum of at most N
2
images, each of which has...