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Book Cover
E-book
Author Beyerer, Jürgen, author

Title Machine vision : automated visual inspection : theory, practice and applications / Jurgen Beyer, Fernando Puente León, Christian Frese
Published Berlin : Springer, [2016]
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Description 1 online resource (xx, 798 pages)
Contents Preface; Contents; Chapter 1 Introduction ; 1 Introduction; 1.1 Visual inspection; 1.2 Optical capturing of test objects; 1.3 Formation and definition of an image ; 1.4 Machine vision; 1.5 Practical approach for performing machine vision projects; 1.6 Bibliography; Part I Image Acquisition ; Chapter 2 Light ; 2 Light; 2.1 The phenomenon of light; 2.1.1 The electromagnetic spectrum; 2.2 Light as an electromagnetic wave; 2.2.1 Maxwell's equations; 2.2.2 Polarization; 2.2.3 Huygens' principle; 2.2.4 Coherence; 2.2.5 Interference; 2.2.6 Diffraction; 2.2.7 Speckle
2.3 Light as a quantum phenomenon2.4 The ray model of geometrical optics; 2.5 Summary; 2.6 Interaction of light and matter; 2.6.1 Absorption; 2.6.2 The law of reflection; 2.6.3 The law of refraction; 2.6.4 Scattering; 2.6.5 The Fresnel coefficients for reflection and transmission; 2.6.6 Electromagnetic waves in conductive media; 2.7 Light sources; 2.7.1 Thermal radiators; 2.7.2 Gas-discharge lamps; 2.7.3 Light-emitting diodes; 2.7.4 Laser; 2.7.5 Summary; 2.8 Bibliography; Chapter 3 Optical Imaging ; 3 Optical Imaging; 3.1 Introduction; 3.2 Imaging with a pinhole camera, central projection
3.3 The camera model and camera calibration3.4 Optical imaging using a single lens; 3.4.1 The paraxial approximation and Gaussian optics; 3.4.2 Thin lens equation; 3.4.3 Bundle limitation; 3.4.4 Depth of field; 3.4.5 Telecentric imaging; 3.4.6 Perspective; 3.4.7 Imaging of tilted planes; 3.4.8 Aberrations; 3.5 Optical instruments with several lenses; 3.5.1 The projector; 3.5.2 The microscope; 3.6 Bibliography; Chapter 4 Radiometry ; 4 Radiometry; 4.1 Radiometric quantities; 4.2 The light field of a test object; 4.3 The bidirectional reflectance distribution function (BRDF)
4.3.1 BRDF and scattered light4.4 Formation of image values; 4.4.1 Application to a thin lens; 4.5 Bibliography; Chapter 5 Color ; 5 Color; 5.1 Photometry; 5.2 Color perception and color spaces; 5.2.1 Color perception of the human eye; 5.2.2 Color mixing; 5.2.3 CIE color spaces; 5.2.4 Spectrophotometry for color measurement and color distance computation; 5.2.5 Color order systems; 5.2.6 Other color spaces; 5.3 Filters; 5.4 Acquisition and processing of color images; 5.5 Bibliography; Chapter 6 Sensors for Image Acquisition ; 6 Sensors for Image Acquisition; 6.1 Point, line and area sensors
6.2 Image tube cameras6.3 Photomultipliers; 6.3.1 Image intensifiers; 6.4 Photodiodes; 6.5 Position sensitive detectors (PSD); 6.6 Charge-coupled device (CCD); 6.7 Complementary metal-oxide-semiconductor (CMOS) sensors; 6.8 Line-scan cameras; 6.9 Color sensors and color cameras; 6.10 Infrared cameras; 6.10.1 Bolometer cameras; 6.10.2 Infrared quantum detector cameras; 6.11 Quality criteria for image sensors; 6.12 Bibliography; Chapter 7 Methods of Image Acquisition ; 7 Methods of Image Acquisition; 7.1 Introduction; 7.2 Measuring optical properties
Summary The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection
Bibliography Includes bibliographical references and index
Notes Vendor-supplied metadata
Subject Computer vision.
Computer vision -- Industrial applications.
Engineering inspection -- Automation.
Quality control -- Optical methods.
Form Electronic book
Author Puente León, Fernando, 1969- author
Frese, Christian, author
ISBN 3662477947 (electronic bk)
9783662477946 (electronic bk)