Download PDF Machine Vision Algorithms and ApplicationsBy Carsten Steger, Markus Ulrich, Christian Wiedemann
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Machine Vision Algorithms and ApplicationsBy Carsten Steger, Markus Ulrich, Christian Wiedemann
Download PDF Machine Vision Algorithms and ApplicationsBy Carsten Steger, Markus Ulrich, Christian Wiedemann
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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
- Sales Rank: #692478 in Books
- Brand: Brand: Wiley-VCH
- Published on: 2007-12-26
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x .70" w x 6.80" l, 1.55 pounds
- Binding: Paperback
- 370 pages
- Used Book in Good Condition
Review
"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)
From the Back Cover
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)
About the Author
Carsten Steger studied computer science at Technische Universit?t M?nchen (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 Universit?t M?nchen, where he teaches machine vision.
Markus Ulrich studied Geodesy and Remote Sensing at Technische Universit?t M?nchen (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 Universit?t M?nchen, where he teaches close-range photogrammetry.
Christian Wiedemann studied Geodesy and Remote Sensing at
Technische Universit?t M?nchen (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.
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