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    Machine Vision Algorithms and Applications (Paperback) By (author) Carsten Steger, By (author) Markus Ulrich, By (author) Christian Wiedemann

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    DescriptionThis first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. The first part covers image acquisition, including illumination, lenses, cameras, frame grabbers, and bus systems, while the second deals with the algorithms themselves. This includes data structures, image enhancement and transformations, segmentation, feature extraction, morphology, template matching, stereo reconstruction, and camera calibration. The final part concentrates on applications, and features real-world examples, example code with HALCON, and further exercises. Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatics, electrical and mechanical engineers, as well as those working in the sensor, automation and optical industries. Free software available with registration code


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  • Full bibliographic data for Machine Vision Algorithms and Applications

    Title
    Machine Vision Algorithms and Applications
    Authors and contributors
    By (author) Carsten Steger, By (author) Markus Ulrich, By (author) Christian Wiedemann
    Physical properties
    Format: Paperback
    Number of pages: 370
    Width: 173 mm
    Height: 241 mm
    Thickness: 18 mm
    Weight: 745 g
    Language
    English
    ISBN
    ISBN 13: 9783527407347
    ISBN 10: 3527407340
    Classifications

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Merchandise Category: SCI
    B&T General Subject: 710
    B&T Modifier: Region of Publication: 04
    B&T Modifier: Academic Level: 02
    Ingram Subject Code: TE
    B&T Modifier: Text Format: 06, 01
    LC subject heading:
    Warengruppen-Systematik des deutschen Buchhandels: 16850
    Abridged Dewey: 621
    LC classification: TA
    BIC subject category V2: UYQV
    LC subject heading:
    BISAC V2.8: TEC015000
    Libri: BILD2700, BILD5800, BILE2808
    DC22: 006.37
    BISAC V2.8: COM016000
    Libri: MUST6000
    Publisher
    Wiley-VCH Verlag GmbH
    Imprint name
    Wiley-VCH Verlag GmbH
    Publication date
    18 January 2008
    Publication City/Country
    Weinheim
    Author Information
    Carsten Steger studied computer science at Technische Universitat Munchen (TUM) and received his PhD from TUM in 1998. In 1996, he co-founded the company MVTec, where he heads the Research and Development department. He has authored and co-authored more than 60 scientific publications in the field of machine vision. Carsten Steger is also a guest lecturer at the Technische Universitat Munchen, where he teaches machine vision. Markus Ulrich studied Geodesy and Remote Sensing at Technische Universitat Munchen (TUM) and received his PhD from TUM in 2003. Since 2003, he is a software engineer at the Research and Development department of MVTec. He has authored and co-authored scientific publications in the fields of photogrammetry and machine vision. Markus Ulrich is also a guest lecturer at the Technische Universitat Munchen, where he teaches close-range photogrammetry. Christian Wiedemann studied Geodesy and Remote Sensing at Technische Universitat Munchen (TUM) and received his PhD from TUM in 2001. He has authored and co-authored more than 40 scientific publications in the fields of photogrammetry, remote sensing, and machine vision. Since 2003, he is a software engineer at the Research and Development department of MVTec.
    Review quote
    "This is a very interesting, complete, and up-to-date book about various aspects of solving real-world machine vision problems. The opportunity to use and test the machine vision software HALCOM is also an important aspect of this book, allowing the reader to practice and develop machine vision solutions by using a very professional and complete software package." ( Computing Reviews , January 21, 2009) "This textbook for machine vision software not only covers the relevant algorithms in theory, but also figures out their practical use." ( openPR.com , September 2008)
    Back cover copy
    This first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. The first part covers image acquisition, including illumination, lenses, cameras, frame grabbers, and bus systems, while the second deals with the algorithms themselves. This includes data structures, image enhancement and transformations, segmentation, feature extraction, morphology, template matching, stereo reconstruction, and camera calibration. The final part concentrates on applications, and features real-world examples, example code with HALCON, and further exercises. Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatics, electrical and mechanical engineers, as well as those working in the sensor, automation and optical industries. Free software available with registration code (www.machine-vision-book.com)
    Table of contents
    Image Acquisition (illumination, lenses, cameras, frame grabbers, bus systems) Machine Vision Algorithms (Data structures, Image enhancement, image transformations, segemntation, feature extraction, morphology, template matching, stereo reconstruction, camera calibration, FFT, color, texture, etc.) Machine Vision Applications (application examples, descriptions on how to solve them with the methods discussed in the book, example code with HALCON - MVTec's premier machine vision software, possibly further exercises)