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1.

図書
図書
1. Digital image processing algorithms and applications
I. Pitas
出版情報: New York ; Chichester : Wiley, c2000  xi, 419 p. ; 25 cm
シリーズ名: A Wiley-Interscience publication
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Preface
Digital image processing fundamentals / 1：
Introduction / 1.1：
Topics of digital image processing and analysis / 1.2：
Digital image formation / 1.3：
Digital image representation / 1.4：
Elementary digital image processing operations / 1.5：
Digital image display / 1.6：
Fundamentals of color image processing / 1.7：
Noise generators for digital image processing / 1.8：
References
Digital image transform algorithms / 2：
Two-dimensional discrete Fourier transform / 2.1：
Row--column FFT algorithm / 2.3：
Memory problems in 2-d DFT calculations / 2.4：
Vector-radix fast Fourier transform algorithm / 2.5：
Polynomial transform FFT / 2.6：
Two-dimensional power spectrum estimation / 2.7：
Discrete cosine transform / 2.8：
Two-dimensional discrete cosine transform / 2.9：
Discrete wavelet transform / 2.10：
Digital image filtering and enhancement / 3：
Direct implementation of two-dimensional FIR digital filters / 3.1：
Fast Fourier transform implementation of FIR digital filters / 3.3：
Block methods in the linear convolution calculation / 3.4：
Inverse filter implementations / 3.5：
Wiener filters / 3.6：
Median filter algorithms / 3.7：
Digital filters based on order statistics / 3.8：
Signal Adaptive order statistic filters / 3.9：
Histogram and histogram equalization techniques / 3.10：
Pseudocoloring algorithms / 3.11：
Digital image halftoning / 3.12：
Image interpolation algorithms / 3.13：
Anisotropic Diffusion / 3.14：
Image Mosaicing / 3.15：
Image watermarking / 3.16：
Digital image compression / 4：
Huffman coding / 4.1：
Run-length coding / 4.3：
Modified READ coding / 4.4：
LZW compression / 4.5：
Predictive coding / 4.6：
Transform image coding / 4.7：
JPEG2000 compression standard / 4.8：
Edge detection algorithms / 5：
Edge detection / 5.1：
Edge thresholding / 5.3：
Hough transform / 5.4：
Edge-following algorithms / 5.5：
Image segmentation algorithms / 6：
Image segmentation by thresholding / 6.1：
Split/merge and region growing algorithms / 6.3：
Relaxation algorithms in region analysis / 6.4：
Connected component labeling / 6.5：
Texture description / 6.6：
Shape description / 7：
Chain codes / 7.1：
Polygonal approximations / 7.3：
Fourier descriptors / 7.4：
Quadtrees / 7.5：
Pyramids / 7.6：
Shape features / 7.7：
Moment descriptors / 7.8：
Thinning algorithms / 7.9：
Mathematical morphology / 7.10：
Grayscale morphology / 7.11：
Skeletons / 7.12：
Shape decomposition / 7.13：
Voronoi tesselation / 7.14：
Watershed transform / 7.15：
Face detection and recognition / 7.16：
Digital Image Processing Lab Exercises Using EIKONA / 8：
Overview / 8.1：
Structure / 8.3：
BW image processing / 8.4：
Black-and-White / 8.4.1：
Basic / 8.4.2：
Processing / 8.4.3：
Analysis / 8.4.4：
Transforms / 8.4.5：
Filtering / 8.4.6：
Nonlinear filtering / 8.4.7：
Color image processing / 8.5：
Color Representation / 8.5.1：
Modules / 8.6：
Arts module / 8.6.1：
Crack Restoration / 8.6.2：
Watermark module / 8.6.3：
EIKONA Source, Library/DLL / 8.7：
Instructions for using the educational material / 8.8：
Index
Preface
Digital image processing fundamentals / 1：
Introduction / 1.1：
2.

図書
図書
2. Algorithms for image processing and computer vision (: pbk)
J.R. Parker
出版情報: New York : John Wiley, c1997  xiii, 417 p. ; 24 cm.
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Advanced Edge-Detection Techniques: The Canny and the Shen-Castan Methods
The Use of Digital Morphology
Advanced Methods in Grey-Level Segmentation
Texture
Skeletonization-The Essential Line
Image Restoration
Wavelets
Optical Character Recognition
Symbol Recognition
Genetic Algorithms and Evolutionary Computing
Appendix
Index
Advanced Edge-Detection Techniques: The Canny and the Shen-Castan Methods
The Use of Digital Morphology
Advanced Methods in Grey-Level Segmentation
3.

図書
図書
3. The pocket handbook of image processing algorithms in C
Harley R. Myler, Arthur R. Weeks
出版情報: Englewood Cliffs, N.J. : PTR Prentice Hall, c1993  xi, 303 p. ; 15 cm
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How to Use This Book
Class Groupings Index
Adaptive DW- MTM Filter
Adaptive Filters
Adaptive MMSE Filter
Alpha-Trimmed Mean Filter
Area
Arithmetic Mean Filter
Brightness Correction
C.I.E. Chromaticity Diagram
Centroid
Chain Code
Circularity
Circularly Symmetric Filter
Closing (binary) Filter
Closing (graylevel) Filter
Clustering
Coding and Compression
Color Image Processing
Color Saturation Correction
Color Tint Correction
Compactness
Contra- Harmonic Mean Filter
Contrast Correction
Dilation (binary) Filter
Dilation (graylevel) Filter
Discrete Convolution
Discrete Correlation
Discrete Cosine Transform
Discrete Fourier Transform
Dithering
Erosion (binary) Filter
Erosion (graylevel) Filter
Flip
Fourier Transform Properties
Gamma Noise
Gaussian Filters
Gaussian Noise
Geometric Mean Filter
Gradient Masks
Graphic Interchange Format (GIF)
Graphics Algorithms
Graylevel
Graylevel Histogram
HSI Color Model
Hadamard Transform
Harmonic Mean Filter
Hartley Transform
High Pass Spatial Filters
Histogram Equalization
Histogram Specification
Histogram Techniques
Hit or Miss (binary) Filter
Homomorphic Filter
Hough Transform
Huffman Coding
Image Fundamentals
Inverse Filter
Joint Photographic Experts Group (JPEG)
Lapalcian Filter
Least Mean Squares Filter
Line Detector
Low Pass Spatial Filters
MacPaint File Format
Mask
Maximum Axis
Maximum Filter
Median Filter
Mensuration
Midpoint Filter
Minimum Axis
Minimum Filter
Moments
Morphing
Morphological Filters
Multi- Graylevel Thresholding
Negative Exponential Noise
Noise
Nonlinear Filters
Non-Linear Transformations
Opening (binary) Filter
Opening (graylevel) Filter
Optimum Thresholding
Outline (binary) Filter
PC Paintbrush (PCX)
Perimeter
Pixel
Point Detector
Pseudocolor
Pseudocolor Display
Quantization
RGB Color Model
Range Filter
Rayleigh Noise
Robert's Filter
Rotate
Run Length Encoding (RLE)
Salt and Pepper Noise
Sampling
Scaling
Segmentation
Skeleton (binary) Filter
Slant Transform
Sobel Filter
Spatial Filters
Spatial Frequency
Spatial Frequency Filters
Spatial Masks
Storage Formats
Tagged Interchange File Format (TIF)
Thickening (binary) Filter
Thinning (binary) Filter
Thresholding
Top-Hat Filter
Transforms
True-Color Display
Uniform Noise
Walsh Transform
Warping
Weighted Mean Filter
Weighted Median Filter
Wiener Filter
Wiener Filter (Parametric)
YIQ Color Model
Yp Mean Filter
Zooming
Image.h File / Appendix A：
Example Program / Appendix B：
TIF Tags List / Appendix C：
Bibliography
Glossary
Subject Index
How to Use This Book
Class Groupings Index
Adaptive DW- MTM Filter
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