Format:
Online-Ressource (XV, 406 S.)
Edition:
[Online-Ausg.], 2. ed.
Edition:
Online-Ausg. 2009 Electronic reproduction; Available via World Wide Web
ISBN:
0123725380
,
9780123978240
,
9780123725387
Content:
* Essential reading for engineers and students working in this cutting edge field * Ideal module text and background reference for courses in image processing and computer vision * Companion website includes worksheets, links to free software, Matlab files and new demonstrations Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web. Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. The new edition includes: * New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency), geometric active contours, morphology, camera models * Updated coverage of image smoothing (anistropic diffusion), skeletonization, edge detection, curvature, shape descriptions (moments) * Essential reading for engineers and students working in this cutting edge field * Ideal module text and background reference for courses in image processing and computer vision * Companion website includes worksheets, links to free software, Matlab files and solutions
Note:
Previous ed.: Oxford: Newnes, 2002
,
Cover; Title page; Copyright Page; Table of Contents; Preface; Chapter 1 Introduction; 1.1 Overview; 1.2 Human and computer vision; 1.3 The human vision system; 1.3.1 The eye; 1.3.2 The neural system; 1.3.3 Processing; 1.4 Computer vision systems; 1.4.1 Cameras; 1.4.2 Computer interfaces; 1.4.3 Processing an image; 1.5 Mathematical systems; 1.5.1 Mathematical tools; 1.5.2 Hello Mathcad, hello images!; 1.5.3 Hello Matlab!; 1.6 Associated literature; 1.6.1 Journals and magazines; 1.6.2 Textbooks; 1.6.3 The web; 1.7 Conclusions; 1.8 References
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Chapter 2 Images, sampling and frequency domain processing2.1 Overview; 2.2 Image formation; 2.3 The Fourier transform; 2.4 The sampling criterion; 2.5 The discrete Fourier transform; 2.5.1 One-dimensional transform; 2.5.2 Two-dimensional transform; 2.6 Other properties of the Fourier transform; 2.6.1 Shift invariance; 2.6.2 Rotation; 2.6.3 Frequency scaling; 2.6.4 Superposition (linearity); 2.7 Transforms other than Fourier; 2.7.1 Discrete cosine transform; 2.7.2 Discrete Hartley transform; 2.7.3 Introductory wavelets: the Gabor wavelet; 2.7.4 Other transforms
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2.8 Applications using frequency domain properties2.9 Further reading; 2.10 References; Chapter 3 Basic image processing operations; 3.1 Overview; 3.2 Histograms; 3.3 Point operators; 3.3.1 Basic point operations; 3.3.2 Histogram normalization; 3.3.3 Histogram equalization; 3.3.4 Thresholding; 3.4 Group operations; 3.4.1 Template convolution; 3.4.2 Averaging operator; 3.4.3 On different template size; 3.4.4 Gaussian averaging operator; 3.5 Other statistical operators; 3.5.1 More on averaging; 3.5.2 Median filter; 3.5.3 Mode filter; 3.5.4 Anisotropic diffusion; 3.5.5 Force field transform
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3.5.6 Comparison of statistical operators3.6 Mathematical morphology; 3.6.1 Morphological operators; 3.6.2 Grey-level morphology; 3.6.3 Grey-level erosion and dilation; 3.6.4 Minkowski operators; 3.7 Further reading; 3.8 References; Chapter 4 Low-level feature extraction (including edge detection); 4.1 Overview; 4.2 First order edge detection operators; 4.2.1 Basic operators; 4.2.2 Analysis of the basic operators; 4.2.3 Prewitt edge detection operator; 4.2.4 Sobel edge detection operator; 4.2.5 Canny edge detection operator; 4.3 Second order edge detection operators; 4.3.1 Motivation
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4.3.2 Basic operators: the Laplacian4.3.3 Marr-Hildreth operator; 4.4 Other edge detection operators; 4.5 Comparison of edge detection operators; 4.6 Further reading on edge detection; 4.7 Phase congruency; 4.8 Localized feature extraction; 4.8.1 Detecting image curvature (corner extraction); 4.8.1.1 Definition of curvature; 4.8.1.2 Computing differences in edge direction; 4.8.1.3 Measuring curvature by changes in intensity (differentiation); 4.8.1.4 Moravec and Harris detectors; 4.8.1.5 Further reading on curvature; 4.8.2 Modern approaches: region/patch analysis
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4.8.2.1 Scale invariant feature transform
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Electronic reproduction; Available via World Wide Web
Additional Edition:
ISBN 0080556728
Additional Edition:
ISBN 9786611100025
Additional Edition:
Erscheint auch als Druck-Ausgabe Nixon, Mark S. Feature extraction and image processing Amsterdam [u.a.] : Acad. Press, 2008 ISBN 0123725380
Additional Edition:
ISBN 9780123725387
Language:
English
Subjects:
Computer Science
Keywords:
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