Machine Vision Algorithms and Applications - Tapa blanda

Steger, Carsten; Ulrich, Markus; Wiedemann, Christian

 
9783527407347: Machine Vision Algorithms and Applications
Tapa blanda
ISBN 10: 3527407340 ISBN 13: 9783527407347
Editorial: Wiley-VCH Verlag GmbH, 2007

Sinopsis

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

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Acerca del autor

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.

De la contraportada

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)

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Wiley-VCH Verlag GmbH
Año de publicación
2007
Idioma
Inglés
ISBN 10 
3527407340
ISBN 13 
9783527407347
Encuadernación
Tapa blanda
Número de páginas
370
Contacto del fabricante
no disponible
Persona responsable
no disponible