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by Carsten Steger, Markus Ulrich, Christian Wiedemann
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.