... discussion here is to introduce notation and develop stochastic image models.
It is often convenient to regard an image as a sample of a stochastic process. For
continuous images, the image function ... Sampling and Reconstruction Concepts, 91
4.2 Image Sampling Systems, 99
4.3 Image Reconstruction Systems, 110
5 Discrete Image Mathematical Representation 121
5.1 Vector-Space Image Representation, ... Template Matching, 613
19.2 Matched Filtering of Continuous Images, 616
19.3 Matched Filtering of Discrete Images, 623
19.4 Image Registration, 625
DIGITAL IMAGE
PROCESSING
PIKS Inside
Third Edition
WILLIAM...
... Congress Cataloging-in-Pubblication Data
Gonzalez, Rafael C.
Digital ImageProcessing / Richard E. Woods
p. cm.
Includes bibliographical references
ISBN 0-201-18075-8
1. Digital Imaging. 2. Digital ... The HSI Color Model 295
6.3 Pseudocolor ImageProcessing 302
6.3.1 Intensity Slicing 303
6.3.2 Gray Level to Color Transformations 308
6.4 Basics of Full-Color ImageProcessing 313
6.5 Color Transformations ... Kernan
Composition: Prepare, Inc.
Director of Creative Services: Paul Belfanti
Creative Director: Carole Anson
Art Director and Cover Designer: Heather Scott
Art Editor: Greg Dulles
Manufacturing...
... are:
‘ A course in practical electronics: (op amps, RC circuits, etc.)
‘ A course in computer programming (Fortran or similar)
‘ One year of calculus
This book was also written with the practicing ... solve a specific problem.
Support by Analog Devices
The Second Edition of this book includes two new chapters on Digital Signal
Processors, microprocessors specifically designed to carry out ... 17. Custom Filters 297
Chapter 18. FFT Convolution 311
Chapter 19. Recursive Filters 319
Chapter 20. Chebyshev Filters 333
Chapter 21. Filter Comparison 343
APPLICATIONS
Chapter 22. Audio Processing...
... Congress Cataloging-in-Pubblication Data
Gonzalez, Rafael C.
Digital ImageProcessing / Richard E. Woods
p. cm.
Includes bibliographical references
ISBN 0-201-18075-8
1. Digital Imaging. 2. Digital ... Chapters 1 and
12. Experience since the last edition of DigitalImageProcessing indicates that
the new, shortened coverage of object recognition is a logical place at which to
conclude the book.
Although ... accessible guide to the published literature on image processing.
Major refereed journals that publish articles on imageprocessing and related topics
include: IEEE Transactions on Image Processing; ...
...
marked by colour red, yellow and green.
3.2 Image pre -processing – correcting image defects
Many factors can impact the image segmentation procedure. For example effects due to image
background, ...
Image
Segmentation
Annotation
of objects
Feature
extraction
Classification
or cluster
Input
image
Segmented
objects
Object
quantification
Feature
vector
Results
(a) (b)
DigitalImageProcessing ... object levels are restructured in an image
object hierarchy. The image object levels of the hierarchy are ordered according to inclusion. The image
objects of any level are restricted to be completely...
... 6: Color Image Processing. This chapter deals with pseudocolor and
full-color image processing. Color models applicable to digitalimage process-
ing are discussed, and IPT functionality in color ... characters, describing the
characters in a form suitable for computer processing, and recognizing those
individual characters, are in the scope of what we call digitalimage processing
in this ... entered MATLAB commands can be selected
and re-executed from the Command History Window by right-clicking on a
command or sequence of commands. This action launches a menu from which
to select various...
... following custom M-function, which we call gscale, accom-
plishes this. In addition, the function can map the output levels to a specified
range. The code for this function does not include any new concepts ... to plot an
image histogram.
(a)
imhist,
(b)
bar,
(c)
stem,
(d)
plot.
DigitalImage
Processing
Using MATLAB
đ
Second Edition
Rafael C. Gonzalez
University of Tennessee
Richard E. Woods
MedData ... func-
tion
stretchlim as an automatic input into function imadjust.
(Original image courtesy of G. E. Medical
Systems.)
3.2 ■ Background 91
switch method
case 'neg'
g = imcomplement(f);...
... Introduction 1
Whydoweprocessimages? 1
Whatisanimage? 1
Whatisadigitalimage? 1
Whatisaspectralband? 2
Why do most imageprocessing algorithms refer to grey images, while most images
wecomeacrossarecolourimages? ... the image which can be used to identify the
contents of the image. This is called feature extraction.
How do we do image processing?
We perform imageprocessing by using image transformations. Image ... 268
Box3.9.Howcanwechooseadirectionthatmaximisesthenegentropy? 269
HowdoweperformICAinimageprocessinginpractice? 274
HowdoweapplyICAtosignalprocessing? 283
Whatarethemajorcharacteristicsofindependentcomponentanalysis?...
... computation capability. Microprocessor
instruction sets can be either complex instruction set computer (CISC) such as Pentium or reduced
instruction set computer (RISC) such as ARM. The CISC processor ... with
Project→Open, select useCCS.pjt from the directory
\experiments\exp1.6.2_CCSandDSK. Build and load the example project useCCS.out. Dou-
ble click the C file,
useCCS .c, in the project viewing ... 10, speech-coding algorithms in Chapter 11,
speech enhancement techniques in Chapter 12, audio coding methods in Chapter 13, error correction
coding techniques in Chapter 14, and image processing...
... Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C. Gonzalez & R. E. Woods
Chapter 7
Wavelets and Multiresolution Processing
Chapter ... Multiresolution Processing
Chapter 7
Wavelets and Multiresolution Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C. Gonzalez & ... Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C. Gonzalez & R. E. Woods
Chapter 7
Wavelets and Multiresolution Processing
Chapter...