Industrial Image Processing Visual Quality Control in Manufacturing
This 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, includi
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Industrial Image Processing Visual Quality Control in Manufacturing 2nd Edition
Industrial Image Processing
Christian Demant Bernd Streicher-Abel Carsten Garnica •
Industrial Image Processing Visual Quality Control in Manufacturing Second Revised Edition
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Dipl.-Ing. Christian Demant Dipl.-Ing. Bernd Streicher-Abel Dipl.-Ing. (FH) Carsten Garnica NeuroCheck GmbH Stuttgart Germany www.neurocheck.com [email protected] Authors of the first edition, 1999: Demant, Streicher-Abel, Waszkewitz
ISBN 978-3-642-33904-2 DOI 10.1007/978-3-642-33905-9
ISBN 978-3-642-33905-9
(eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013935767 http://extras.springer.com/2013/978-3-642-33904-2 Springer-Verlag Berlin Heidelberg 1999, 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
As a student of ETH Zurich, I encountered image processing for the first time in the mid-1980s. Then, the subject was primarily discussed from a scientific and theoretical point of view (algorithms) and had no practical use in automation technology. Expensive special hardware with weak, non-standardized processors in combination with error-prone assembler programming resulted in poor reliability for industrial processes and thus prevented its
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