Carsten Steger, Markus Ulrich, Christian Wiedemann

Machine Vision Algorithms and Applications

• Broschiertes Buch

Produktbeschreibung

This book provides all details on theory and practical usage of machine vision algorithms.

Free software available with registration code.

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Dieses erste aktuelle Handbuch der Software für maschinelles Sehen behandelt die relevanten Algorithmen theoretisch und stellt dann viele praktische Einsatzmöglichkeiten vor. Im ersten Teil geht es um die Bilderstellung (Linsen, Kameras, Framegrabber, Bussysteme), im zweiten Teil kommen die Algorithmen selbst zur Sprache (unter anderem Datenstrukturen, Bildbearbeitung, Segmentierung, Morphologie, Stereo-Rekonstruktion), und der dritte Teil befasst sich mit realitätsnahen Anwendungen. Umfangreiche Codebeispiele (in HALCON) und Übungsaufgaben runden den Text ab. Der Zugang zur MVTech-Software wird gewährleistet.

Produktdetails

• Verlag: Wiley-VCH
• 1. Auflage
• Seitenzahl: 360
• Erscheinungstermin: Oktober 2007
• Englisch
• Abmessung: 241mm x 173mm x 18mm
• Gewicht: 705g
• ISBN-13: 9783527407347
• ISBN-10: 3527407340
• Artikelnr.: 22894489

Autorenporträt

Carsten Steger studied computer science at Technische Universität München (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 Universität München, where he teaches machine vision.

Markus Ulrich studied Geodesy and Remote Sensing at Technische Universität München (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 Universität München, where he teaches close-range photogrammetry.

Christian Wiedemann studied Geodesy and Remote Sensing at
Technische Universität München (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.

Inhaltsangabe

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)