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  • 1
    Online Resource
    Online Resource
    Feature extraction & image processing for computer vision / (2012)
    Oxford :Academic Press,
    Details
    UID:
    almafu_BV042315042
    Format: 1 Online-Ressource (xvii, 609 Seiten) : , Illustrationen, Diagramme.
    Edition: Third edition
    ISBN: 978-0-12-396549-3 , 0-12-396549-7 , 978-0-12-397824-0 , 0-12-397824-6
    Note: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended
    Language: English
    Subjects: Engineering
    RVK:
    ZN 6050
    Keywords: Merkmalsextraktion ; Bildverarbeitung ; Maschinelles Sehen
    URL: Volltext
    URL: Volltext
    URL: Volltext
    URL: Volltext
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    FU Berlin
    Charité
    BTU Cottbus
    TU Berlin
  • 2
    Online Resource
    Online Resource
    Feature extraction & image processing for computer vision / (2012)
    Oxford :Academic,
    Details
    UID:
    almafu_9959245538302883
    Format: 1 online resource (628 p.)
    Edition: 3rd ed.
    ISBN: 0-12-397824-6
    Content: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, ""The main strength of the proposed book is the exemplar code of the algorithms."" Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral fi
    Note: Previous edition published as: Feature extraction and image processing / Mark S. Nixon, Alberto S. Aguado, 2008. , Front Cover; Feature Extraction & Image Processing for Computer Vision; Copyright page; Contents; Preface; What is new in the third edition?; Why did we write this book?; The book and its support; In gratitude; Final message; About the authors; 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 Matlab, hello images!; 1.5.3 Hello Mathcad! , 1.6 Associated literature1.6.1 Journals, magazines, and conferences; 1.6.2 Textbooks; 1.6.3 The Web; 1.7 Conclusions; 1.8 References; 2 Images, sampling, and frequency domain processing; 2.1 Overview; 2.2 Image formation; 2.3 The Fourier transform; 2.4 The sampling criterion; 2.5 The discrete Fourier transform; 2.5.1 1D transform; 2.5.2 2D 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 wavelets2.7.3.1 Gabor wavelet; 2.7.3.2 Haar wavelet; 2.7.4 Other transforms; 2.8 Applications using frequency domain properties; 2.9 Further reading; 2.10 References; 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; 3.4.5 More on averaging; 3.5 Other statistical operators , 3.5.1 Median filter3.5.2 Mode filter; 3.5.3 Anisotropic diffusion; 3.5.4 Force field transform; 3.5.5 Comparison of statistical operators; 3.6 Mathematical morphology; 3.6.1 Morphological operators; 3.6.2 Gray-level morphology; 3.6.3 Gray-level erosion and dilation; 3.6.4 Minkowski operators; 3.7 Further reading; 3.8 References; 4 Low-level feature extraction (including edge detection); 4.1 Overview; 4.2 Edge detection; 4.2.1 First-order edge-detection operators; 4.2.1.1 Basic operators; 4.2.1.2 Analysis of the basic operators; 4.2.1.3 Prewitt edge-detection operator , 4.2.1.4 Sobel edge-detection operator4.2.1.5 The Canny edge detector; 4.2.2 Second-order edge-detection operators; 4.2.2.1 Motivation; 4.2.2.2 Basic operators: the Laplacian; 4.2.2.3 The Marr-Hildreth operator; 4.2.3 Other edge-detection operators; 4.2.4 Comparison of edge-detection operators; 4.2.5 Further reading on edge detection; 4.3 Phase congruency; 4.4 Localized feature extraction; 4.4.1 Detecting image curvature (corner extraction); 4.4.1.1 Definition of curvature; 4.4.1.2 Computing differences in edge direction; 4.4.1.3 Measuring curvature by changes in intensity (differentiation) , 4.4.1.4 Moravec and Harris detectors , English
    Additional Edition: ISBN 0-12-396549-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
    FU Berlin
    Charité
  • 3
    Book
    Book
    Feature extraction & image processing for computer vision (2012)
    Amsterdam : Elsevier, Academic Press
    Details
    UID:
    gbv_1617733482
    Format: XVI, 609 S. , Ill., graf. Darst. , 24 cm
    Edition: 3rd ed.
    ISBN: 0123965497 , 9780123965493 , 9780123965493
    Content: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended--
    Note: Literaturangaben
    Additional Edition: Erscheint auch als Online-Ausgabe Nixon, Mark S. Feature extraction & image processing for computer vision Amsterdam [u.a.] : Acad. Press, 2012 ISBN 9780123965493
    Additional Edition: ISBN 0123978246
    Additional Edition: ISBN 9780123978240
    Additional Edition: Online-Ausg. (Ebrary) Nixon, Mark S. Feature extraction & image processing for computer vision Oxford : Academic, 2011 ISBN 0123965497
    Additional Edition: ISBN 9780123965493
    Additional Edition: ISBN 9780123978240
    Additional Edition: Erscheint auch als Online-Ausgabe Nixon, Mark S. Feature extraction & image processing for computer vision Amsterdam : Elsevier, Academic Press, 2012 ISBN 9780123965493
    Additional Edition: ISBN 9780123965493
    Language: English
    Subjects: Computer Science
    RVK:
    ST 325
    RVK:
    ST 330
    Keywords: Bildverarbeitung ; Bildverarbeitung ; Maschinelles Sehen
    URL: Inhaltsverzeichnis
    URL: http://www.gbv.de/dms/ilmenau/toc/719340683.PDF
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    UB Potsdam get availability status
    Zuse Berlin get availability status
  • 4
    Online Resource
    Online Resource
    Feature extraction & image processing for computer vision (2012)
    Oxford :Academic,
    Details
    UID:
    almahu_9948316650102882
    Format: xvii, 609 p. : , ill.
    Edition: 3rd ed.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Note: Previous edition published as: Feature extraction and image processing / Mark S. Nixon, Alberto S. Aguado, 2008.
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
  • 5
    Online Resource
    Online Resource
    Feature extraction and image processing (2008)
    Amsterdam [u.a.] : Acad. Press
    Details
    UID:
    gbv_60263444X
    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 , 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 , 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 , 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 , 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 , 4.8.2.1 Scale invariant feature transform , 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
    RVK:
    ST 330
    Keywords: Bildverarbeitung
    URL: Volltext
    URL: Volltext
    URL: Volltext
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    UB Potsdam
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