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Image Processing, Analysis and and Machine Vision - a MATLAB Companion

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ISBN-10: 0495295957

ISBN-13: 9780495295952

Edition: 2008

Authors: Tomas Svoboda, Jan Kybic, Vaclav Hlavac

List price: $87.95
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This book is a companion book to the comprehensive text entitled Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle. This workbook provides additional material for readers of Sonka and is similarly structured. Written for students, teachers and practitioners to acquire practical understanding in a hands on fashion, this book provides the reader with short-answer questions, problems and selected algorithms from the main text using MATLAB in levels of varying difficulty. These resources can be used as extra practice for students to reinforce the material studied within the main text or can be useful as test materials for teachers. A solutions manual is…    
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Book details

List price: $87.95
Copyright year: 2008
Publisher: Course Technology
Publication date: 8/31/2007
Binding: Paperback
Pages: 256
Size: 7.90" wide x 9.20" long x 0.60" tall
Weight: 0.968
Language: English

Vaclav Hlavac is Professor of Cybernetics at the Czech Technical University, Prague. his research interests are knowledge based image analysis, 3D model-based vision and relations between statistical and structural pattern recognition.

Introduction to the companion book
Structure of the companion book
The WWW page for the companion book
Useful learning material by others
Introduction
Problems
Viewing an image: image_view_demo
The image, its representations and properties
Problems
Displaying a coarse binary image: coarse_pixels_draw
Distance transform: dist_trans_demo
Border of a region: region_border_demo
The image, its mathematical and physical background
Problems
Convolution, shift-multiply-add approach: conv_demo
Discrete Fourier Transform: dft_edu
Inverse DFT: idft_edu
1D Discrete Fourier Transform: dft1d_demo
2D Discrete Fourier Transform: dft2d_demo
Basis functions for the 2D Discrete Cosine Transform: dct2base
Principal Component Analysis: pca
Data structures for image analysis
Problems
Matlab data structures: structures
Displaying image values: showim_values
Co-occurrence matrix: cooc
Integral image construction: integralim
Image pre-processing
Problems
Grayscale transformation, histogram equalization: hist_equal
Geometric transformation: imgeomt
Smoothing using a rotating mask: rotmask
Image sharpening by Laplacian: imsharpen
Harris corner detector: harris
Frequency filtering: buttfilt
Segmentation I
Problems
Iterative threshold selection: imthresh
Line detection using Hough transform: hough_lines
Dynamic programming boundary tracing: dpboundary
Region merging via boundary melting: regmerge
Removal of small regions: remsmall
Segmentation II
Problems
Mean shift segmentation: meanshsegm
Active contours (snakes): snake
Gradient vector flow snakes: mgvf
Level sets: levelset
Graph cut segmentation: graphcut
Shape representation and description
Problems
B-spline interpolation: bsplineinterp
Convex hull construction: convexhull
Region descriptors: regiondescr
Boundary descriptors: boundarydescr
Object recognition
Problems
Maximum probability classification for normal data: maxnormalclass
Linear separability and basic classifiers: linsep_demo
Recognition of hand-written numerals: ocr_demo
Adaptive boosting: adaboost
Image understanding
Problems
Random sample consensus: ransac
Gaussian mixture model estimation: gaussianmixture
Point distribution models: pointdistrmodel
Active shape model fit: asmfit
3D vision, geometry
Problems
Homography estimation from point correspondences-DLT method: u2Hdlt
Mathematical description of the camera: cameragen
Visualize a camera in a 3D plot: showcams
Decomposition of the projection matrix P: P2KRtC
Isotropic point normalization: pointnorm
Fundamental matrix-8-point algorithm: u2Fd1t
Geometrical Explanation of Epipolar Geometry: u2Fd1t_demo
3D point reconstruction-linear method: uP2Xd1t
Use of 3D vision
Problems
Iterative closest point matching: vtxicrp
Mathematical morphology
Problems
Top hat transformation: tophat
Object detection using opening: objdetect
Sequential thinning: thinning
Ultimate erosion: ulterosion
Binary granulometry: granulometry
Watershed segmentation: wshed
Image data compression
Problems
Huffman code: huffman
Predictive compression: dpcm
JPEG compression pictorially, step by step: jpegcomp_demo
Texture
Problems
Haralick texture descriptors: haralick
Wavelet texture descriptors: waveletdescr
Texture based segmentation: texturesegm
L-system interpreter: lsystem
Motion analysis
Problems
Adaptive background modeling by using a mixture of Gaussians: bckggm
Particle filtering: particle_filtering
Importance sampling: importance_sampling
Kernel-based tracking: kernel_based_tracking
Acknowledgments
References
Index