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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 ... Canada, Ltd., Toronto
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Optics—Information Processing; IEEE Transactions on Medical Imaging; Journal of
Electronic Imaging; IEEE Transactions on Information Theory; IEEE Transactions on
Communications; IEEE Transactions on Acoustics, ... literature onimage processing.
Major refereed journals that publish articles onimageprocessing and related topics
include: IEEE Transactions onImage Processing; IEEE Transactions on Pattern...
... Resolution 324
7.3.3 Power Density Spectrum 328
7.3.4 Fast Convolution 330
7.3.5 Spectrogram 332
7.4 Implementation Considerations 333
7.4.1 Computational Issues 334
7.4.2 Finite-Precision Effects ... Figure 1.7(a). The von Neumann architecture assumes that
12 INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING
Contents
Preface xv
1 Introduction to Real-Time Digital Signal Processing 1
1.1 Basic ... bring the Gain
32 INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING
1
Introduction to Real-Time
Digital Signal Processing
Signals can be divided into three categories ± continuous-time (analog)...
... Representation of Information and Hybrid Com-
bination for Identification Systems”, International Conference on Information Fusion, ISIF,
2000.
[NIM 98] N
IMIER V., “Introduction d’information contextuelle ... Multitarget Environment”, 4
th
International Conference On Information
Fusion, Fusion 2001, Montreal, Quebec, ISIF, 2001.
[CON 02] C
ONTAT M., NIMIER V., R EYNAUD R., “Request Management using Contex-
tual ... Information 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...
... calculations. Based on a very-long-instruction-word
(VLIW) architecture, the C6x is considered to be TI’s most powerful processor.
Digital signal processors are used for a wide range of applications, ... range of applications, from com-
munications and controls to speech and image processing. The general-purpose
Digital Signal Processing and Applications with the C6713 and C6416 DSK By Rulph ... function dotp with no optimization; (c) profiling function dotp with level 3 opti-
mization; (d) profiling printf.
ch01.qxd 10/7/04 3:20 PM Page 25
Digital Signal Processing
and Applications with...
... DigitalImageProcessing – Part II
62
Image Segmentation
3. Image Segmentation
3.1 Introduction
Image segmentation is a fundamental component in many computer vision applications, ...
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 ... objects connected to the image border.
(a)
(c)
(d)
(b)
Digital ImageProcessing – Part II
89
Image Segmentation
3.9 Object-oriented image segmentation
The challenge of understanding images...
... 397
Convolution 397
3×3 Edge Modification 402
Convolution by Separability 404
Example of a Large PSF: Illumination Flattening 407
Fourier Image Analysis 410
FFT Convolution 416
A Closer Look at Image ... Convolution 311
Chapter 19. Recursive Filters 319
Chapter 20. Chebyshev Filters 333
Chapter 21. Filter Comparison 343
APPLICATIONS
Chapter 22. Audio Processing 351
Chapter 23. Image Formation ... appear along the horizontal axis. Two
notations for assigning sample numbers are commonly used. In the first
notation, the sample indexes run from 1 to N (e.g., 1 to 512). In the second
notation,...
... and Kokotovi
´
c / NONLINEAR AND
ADAPTIVE CONTROL DESIGN
Mann / INTELLIGENT IMAGE PROCESSING
Nikias and Shao / SIGNAL PROCESSING WITH ALPHA-STABLE
DISTRIBUTIONS AND APPLICATIONS
Passino and Burgess ... for personal documentary photography and videography,
as well as personal machine vision and visual intelligence. In this section a
personal computer vision system with viewfinder and personal video ... face-to-face conver-
sation between two individuals, where one of the individuals wishes to make
an annotated video diary of the conversation without disrupting the natural flow
of the conversation. In...
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9.2.1 Dilation 338
9.2.2 Structuring Element Decomposition 341
9.2.3 The strel Function 341
9.2.4 Erosion 345
Library of Congress Cataloging-in-Publication Data on File
Vice ... and
full-color image processing. Color models applicable to digitalimage process-
ing are discussed, and IPT functionality in color processing is extended via im-
plementation of additional color...
... why one of the functions is always rotated by 180°
in convolution. Note that, unlike correlation, swapping the order of the func-
tions yields the same convolution result. If the function being ...
Illustration of
one-dimensional
correlation and
convolution.
Correlation Convolution
'full' correlation result
(a) 0 0 0 1 0 0 0 0 1 2 3 2 0
Origin
Starting position alignment
Zero padding
f ...
In addition, T can operate on a set of images, such as performing the addition
of K images for noise reduction.
3.3 ■ Histogram Processing and Function Plotting 97
described for function bar....
... Superposition and Convolution, 161
7.2 Sampled Image Superposition and Convolution, 170
7.3 Circulant Superposition and Convolution, 177
7.4 Superposition and Convolution Operator Relationships, ... Concepts, 54
3.4 Tristimulus Value Transformation, 61
3.5 Color Spaces, 63
PART 2 DIGITALIMAGE CHARACTERIZATION 89
4 Image Sampling and Reconstruction 91
4.1 Image Sampling and Reconstruction ... defined along orthonormal coordinates. Thus
(1.2-4)
where the one-dimensional delta function satisfies one-dimensional versions of Eq.
1.2-3. The delta function also can be defined as a limit on a...