Industrial Image Processing: Visual Quality Control in Manufacturing, Volume 1
Springer Science & Business Media, 1999 - Computers - 353 pages
This practical introduction focuses on how to build integrated solutions to industrial vision problems from individual algorithms. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck software package. This software is used for on-line visual inspection in many industrial production processes. Based on many years of experience in industries, the editors explain all the (mostly unpublished but essential) details encountered in the creation of real-world vision systems. With the original NeuroCheck software package and all the example images included on CD-ROM, readers can work their way through the described inspection tasks and carry out their own experiments.
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application areas back lighting Backpropagation Basic brightness values byte character recognition Christian Demant classifier Completeness check computer font course Define region Depth of field detail digital image processing Dipl.-Ing discussed filters FireWire Frame grabbers gauging Germany gray level Illumination image area Image arithmetic Image capture Image Preprocessing image proc image processing software image processing system image scene industrial image processing input interfaces Introductory example Key terms limited machine manufacturing mathematical neural networks NeuroCheck overview chapters PC systems Peter Waszkewitz Pixel operations Position adjustment possible presence verification present Print quality inspection processing step programmable logic control real-world region of interest require resolution Robert Bosch GmbH sampling and quantization search lines segmented objects sensors Signal flow simple solving source image spark plug standard structure subtask Surface inspection template matching test piece thread base Thread depth type number typically vision systems visual inspection systems washers Windows 9X