... 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 ... Imaging Modalities Are Used 34
1.4 Fundamental Steps inDigitalImageProcessing 39
1.5 Components of an ImageProcessing System 42
Summary 44
References and Further Reading 45
2
Digital Image ... Imaging 23
1.3.3 Imaging in the Ultraviolet Band 25
1.3.4 Imaging in the Visible and Infrared Bands 26
1.3.5 Imaging in the Microwave Band 32
1.3.6 Imaging in the Radio Band 34
1.3.7 Examples in...
... processingin a digital domain. Color is used also in later chapters as the
basis for extracting features of interest in an image.
Wavelets are the foundation for representing images in various ... single-headed arrows linking the processing modules.
Although we do not discuss image display explicitly at this point, it is impor-
tant to keep in mind that viewing the results of imageprocessing can take ... specif-
ically for image processing.
Although large-scale imageprocessing systems still are being sold for mas-
sive imaging applications, such as processing of satellite images, the trend con-
tinues toward...
... either fixed- or floating-point processing. Most
examples implemented in this book can run using fixed-point processing. Selecting
C671x as Target Version invokes a floating-point implementation.
If ... 35*/
{
gain = gain_parameter; /*vary gain of sine*/
}
FIGURE 1.6. GEL file to slide through different gain values in the sine generation program
(gain.gel).
FIGURE 1.7. Slider window for varying the ... connectors
on the board provide input and output: MIC IN for microphone input, LINE IN for
line input, LINE OUT for line output, and HEADPHONE for a headphone output
(multiplexed with line output). The status...
... DigitalImageProcessing – Part II
54
Morphological Image Processing
(a)
(c)
(d)
(b)
DigitalImageProcessing – Part II
87
Image Segmentation
(a) (b)
(c)
(a)
(b)
DigitalImage ... DigitalImageProcessing – Part II
62
Image Segmentation
3. ImageSegmentation
3.1 Introduction
Image segmentation is a fundamental component in many computer vision ...
66
66
67
69
70
71
71
72
74
76
77
77
79
80
81
83
83
84
85
86
89
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DigitalImageProcessing – Part II
61
Morphological Image Processing
Problems
(7) Write down the equations of combined Boolean operations to produce the following binary
images by using...
... operations
contrast
saturation
Changing illuminant
SSIP08 Vienna, Austria
4.2. Color image filtering (11)
ã Results of HSV conditional ordering median filter:
Color imageprocessing & analysis
original noisy filtered
...
adapt to local image statistics!
ắ Other filtering approaches: morphological operators; wavelets; PDEs
Color imageprocessing & analysis
State of the art in color image
processing and analysis
Lecturer:
Assoc. ... Austria
5.2. Image domain segmentation of color images
ã Previous techniques don’t guarantee spatial compactness of regions
⇒ Image domain segmentation techniques add spatial constraints to improve
segmentation...
... concepts
using state-of-the-art imageprocessing software tools.The theoretical underpin-
nings of the material in the following chapters are mainly from the leading text-
book in the field: DigitalImage ... of add-on products, including the ImageProcessing Toolbox,
also are available.
Areas of ImageProcessing Covered in the Book
Every chapter in this book contains the pertinent MATLAB and IPT ... 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 processing...
...
than the number of intensity levels in f.
3.3 ■ Histogram Processing and Function Plotting 101
evident in the histogram of this image, shown in Fig. 3.8(d). The increase in
contrast is due ... transformation
function in Fig. 3.9 maps a narrow range of intensity levels in the lower end
of the input intensity scale to the full intensity range in the output image. The
improvement inimage contrast ... are used interchangeably when deal-
ing with monochrome (i.e., gray-scale) images. When dealing with color images,
the term intensity is used to denote a color image component in certain color...
... axis in one domain results in a contraction of the corre-
sponding axis in the other domain plus an amplitude change.
Shift. A positional shift in the input plane results in a phase shift in the ... simplicity, a single image function is selected to repre-
sent an image field in a physical imaging system. For a monochrome imaging sys-
tem, the image function nominally denotes the image luminance, ... logarithmic
response to input intensity, then if a signal grating contains a recording of an
exponential sine wave, that is, , the human visual system can be
linearized. A hypothetical MTF obtained by measuring...
... 7
Wavelets and Multiresolution Processing
Chapter 7
Wavelets and Multiresolution Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C. ... 7
Wavelets and Multiresolution Processing
Chapter 7
Wavelets and Multiresolution Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C. ... 7
Wavelets and Multiresolution Processing
Chapter 7
Wavelets and Multiresolution Processing
DigitalImage Processing, 2nd ed.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
â 2002 R. C....