LEADER 03062oam 2200553 450 001 9910437570903321 005 20190911112726.0 010 $a3-642-33905-0 024 7 $a10.1007/978-3-642-33905-9 035 $a(OCoLC)860903119 035 $a(MiFhGG)GVRL6VLD 035 $a(EXLCZ)993710000000024374 100 $a20130320d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aIndustrial image processing $evisual quality control in manufacturing /$fChristian Demant, Bernd Streicher-Abel, Carsten Garnica 205 $a2nd ed. 2013. 210 1$aHeidelberg [Germany] :$cSpringer,$d2013. 215 $a1 online resource (xvii, 369 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a3-642-33904-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Overview: Image Preprocessing -- Positioning -- Overview: Segmentation -- Mark Identification -- Overview: Classification -- Dimensional Checking -- Overview: Image Acquisition and Illumination -- Presence Verification -- Overview: Object Features -- Outlook: Visual Inspection Projects -- A: Mathematical Notes -- B: The Companion CD -- References -- Index. 330 $aThis practical introduction focuses on how to design integrated solutions for industrial vision tasks from individual algorithms. The book is now available in a revised second edition that takes into account the current technological developments, including camera technology and color imaging processing. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck® standard software that has proven industrial strength integrated in thousands of applications in real-world production lines. Based on many years of experience in industry, the authors explain all the essential details encountered in the creation of vision system installations. With example material and a demo version of the software found on "extras.springer.com" readers can work their way through the described inspection tasks and carry out their own experiments. 606 $aQuality control$xOptical methods 606 $aImage processing$xDigital techniques 606 $aOptical pattern recognition 606 $aNeural networks (Computer science) 615 0$aQuality control$xOptical methods. 615 0$aImage processing$xDigital techniques. 615 0$aOptical pattern recognition. 615 0$aNeural networks (Computer science) 676 $a004 676 $a006.37 676 $a006.6 676 $a621.382 700 $aDemant$b Christian$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058038 702 $aStreicher-Abel$b Bernd$f1959- 702 $aGarnica$b Carsten 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910437570903321 996 $aIndustrial Image Processing$92496634 997 $aUNINA