 |
References |
| << Acknowledgments |
...Image
Processing Fundamentals
Gonzalez,R.C.
and R.E. Woods,DigitalImage
Processing.
1992,Reading,
7.
Massachusetts:
Addison-Wesley. 716.
Goodman,J.W.,
Introduction to
Fourier Optics.
McGraw-HillPhysical
and
8.
QuantumElectronics
Series. 1968,New York:
McGraw-Hill.287.
Heijmans,H.J.A.M.,
Morphological
Image Operators . Advances
in
9.
Electronics
and Electron Physics. 1994,
Boston:Academic
Press.
10.Hunt,
R.W.G., TheReproduction
of Colour in Photography,Printing
&
Television,.
Fourth ed. 1987,
Tolworth,England:
FountainPress.
11.Freeman,
H., Boundaryencoding
and processing, in PictureProcessing
and
Psychopictorics,
B.S. Lipkin and A.
Rosenfeld,Editors.
1970,Academic
Press:New
York. p. 241-266.
12.Stockham,
T.G., ImageProcessing
in the Context of a Visual
Model. Proc.
IEEE,1972.
60: p. 828 -
842.
13.Murch,
G.M., Visual
and Auditory Perception.
1973,New York:
Bobbs-
MerrillCompany,
Inc. 403.
14.Frisby,
J.P., Seeing:Illusion,
Brain and Mind. 1980,
Oxford,England:
OxfordUniversity
Press.160.
15.Blakemore,
C. and F.W.C. Campbell,On
the existence of neurons in the
humanvisual
system selectively sensitive to the orientation and
size of retinal
images.J.
Physiology,1969. 203:
p. 237-260.
16.Born,
M. and E. Wolf, Principles
of Optics.
Sixthed. 1980,
Oxford:
PergamonPress.
17.Young,
I.T., QuantitativeMicroscopy.
IEEEEngineering
in Medicine and
Biology,1996.
15(1): p.
59-66.
18.Dorst,
L. and A.W.M. Smeulders,Lengthestimators
compared, in Pattern
Recognition
in Practice II, E.S. Gelsema and
L.N. Kanal,
Editors.1986,
Elsevier
Science: Amsterdam. p. 73-80.
19.Young,
I.T., Sampling density
and quantitative microscopy. Analytical
and
QuantitativeCytology
and Histology, 1988. 10(4):
p. 269-275.
20.Kulpa,
Z., Area
and perimeter measurement of blobs in
discrete binary
pictures.ComputerVision,
Graphics and
ImageProcessing, 1977.
6: p.
434-
454.
21.Vossepoel,
A.M. and A.W.M. Smeulders,Vectorcode
probabilities and
metricationerror
in the representation of straight lines of
finite length.
ComputerGraphics
and Image Processing, 1982.20: p.
347364.
22.Photometrics
Ltd., Signal
Processing and Noise, in Series200
CCD Cameras
Manual.
1990: Tucson,Arizona.
109
...Image
Processing Fundamentals
23.Huang,
T.S., G.J. Yang,and G.Y.
Tang, A
Fast
Two-DimensionalMedian
FilteringAlgorithm.
IEEETransactions
on Acoustics, Speech, and
Signal
Processing,
1979. ASSP-27:
p. 13-18.
24.Groen,
F.C.A., R.J. Ekkers, and R. De
Vries, Imageprocessing
withpersonal
computers.
Signal Processing,
1988. 15:
p. 279-291.
25.Verbeek,
P.W., H.A. Vrooman, and
L.J. Van Vliet,Low-Level
Image
Processing
by Max-Min Filters. Signal Processing,
1988. 15:
p. 249-258.
26.Young,
I.T. and L.J. VanVliet,
Recursive
Implementation of the Gaussian
Filter.Signal
Processing, 1995. 44(2):
p. 139-151.
27.Kuwahara,
M., et
al., Processing
of RI-angiocardiographic images, in Digital
Processing
of Biomedical Images, K.
Prestonand M. Onoe,
Editors.1976,
PlenumPress:
New York. p. 187-203.
28.Van
Vliet, L.J., Grey-scalemeasurements
in multi-dimensional digitized
images,
PhD Thesis: Delft University
of Technology, 1993.
29.Serra,
J., Image Analysis and
Mathematical Morphology.
1982,London:
AcademicPress.
30.Vincent,
L., Morphologicaltransformations
of binary imageswith
arbitrary
structuringelements.
Signal Processing,
1991. 22(1):
p. 3-23.
31.Van
Vliet, L.J. andB.J.H.
Verwer, A
Contour Processing Methodfor
Fast
BinaryNeighbourhood
Operations. Pattern
Recognition Letters, 1988. 7(1):
p.
27-36.
32.Young,
I.T., et
al., A
new implementation for the binary and
Minkowski
operators.ComputerGraphics
and ImageProcessing, 1981.
17(3): p.
189-
210.
33.Lantuéjoul,
C., Skeletonization
in Quantitative Metallography, in Issues
of
Digital
Image Processing ,
R.M.Haralick and J.C. Simon,
Editors.1980,
Sijthoff
and Noordhoff: Groningen,
TheNetherlands.
34.Oppenheim,
A.V., R.W.Schafer, and T.G.
Stockham,Jr., Non-Linear
Filtering
of Multiplied and
ConvolvedSignals. Proc.IEEE,
1968. 56(8):
p.
1264-1291.
35.Ridler,
T.W. and S. Calvard,Picturethresholding
using an iterative selection
method.
IEEETrans.
on Systems, Man, and Cybernetics,
1978. SMC-8(8):
p.
630-632.
36.Zack,
G.W., W.E. Rogers,and
S.A. Latt, Automatic
Measurement of Sister
ChromatidExchange
Frequency. 1977.25(7): p.
741-753.
37.Chow,
C.K. and T. Kaneko,Automaticboundary
detection of the leftventricle
fromcineangiograms.
Computers and
Biomedical Research, 1972. 5: p.
388-
410.
110
...Image
Processing Fundamentals
38.Canny,
J., A
Computational Approach to
EdgeDetection. IEEETransactions
on
Pattern Analysis and
MachineIntelligence, 1986. PAMI-8(6): p.
679-698.
39.Marr,
D. and E.C.
Hildreth,Theory
of edge detection. Proc. R.
Soc. London
Ser.B.,
1980. 207:
p. 187-217.
40.Verbeek,
P.W. and L.J. VanVliet,
On
the Location Error of
CurvedEdges in
Low-PassFiltered
2D and 3D Images. IEEETransactions
on Pattern
Analysisand
Machine Intelligence, 1994. 16(7): p.
726-733.
41.Lee,
J.S.L., R.M. Haralick, and
L.S. Shapiro. MorphologicEdge
Detection. in
8thInternational
Conference on Pattern Recognition.
1986. Paris: IEEE
ComputerSociety.
42.Van
Vliet, L.J., I.T. Young, and
A.L.D. Beckers, A
Non-linear Laplace
Operator
as Edge Detector in Noisy Images. ComputerVision,
Graphics, and
Image
Processing, 1989. 45:
p. 167-195.
43.Meyer,
F. and S. Beucher,MorphologicalSegmentation.
J.
VisualComm.
ImageRep.,
1990. 1(1):
p. 21-46.
44.Meyer,
F., IterativeImage
Transformations for an Automatic
Screening of
CervicalCancer.
Journal of
Histochemistry and
Cytochemistry,1979. 27:
p.
128-135.
111
Table of Contents:
- Introduction
- Digital Image Definitions:COMMON VALUES, Types of operations, VIDEO PARAMETERS
- Tools:CONVOLUTION, FOURIER TRANSFORMS, Circularly symmetric signals
- Perception:BRIGHTNESS SENSITIVITY, Wavelength sensitivity, OPTICAL ILLUSIONS
- Image Sampling:Sampling aperture, Sampling for area measurements
- Noise:PHOTON NOISE, THERMAL NOISE, KTC NOISE, QUANTIZATION NOISE
- Cameras:LINEARITY, Absolute sensitivity, Relative sensitivity, PIXEL FORM
- Displays:REFRESH RATE, INTERLACING, RESOLUTION
- Algorithms:HISTOGRAM-BASED OPERATIONS, Equalization, Binary operations, Second Derivatives
- Techniques:SHADING CORRECTION, Estimate of shading, Unsharp masking
- Acknowledgments
- References