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 ([external URL]
(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)
"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)