|
The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted. The publishers are not responsible for the validity of the information or for any outcomes resulting from reliance thereon. Please use the following format to cite material from this book: Author(s), “Title of Paper,” in Image Processing: Machine Vision Applications VII, edited by Kurt S. Niel, Philip R. Bingham, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 9024, Article CID Number (2014) ISSN: 0277-786X ISBN: 9780819499417 Copublished by SPIE P.O. Box 10, Bellingham, Washington 98227-0010 USA Telephone + 1 360 676 3290 (Pacific Time) · Fax +1 360 647 1445 and IS&T—The Society for Imaging Science and Technology 7003 Kilworth Lane, Springfield, Virginia, 22151 USA Telephone +1 703 642 9090 (Eastern Time)· Fax +1 703 642 9094 Copyright © 2014, Society of Photo-Optical Instrumentation Engineers and The Society for Imaging Science and Technology. Copying of material in this book for internal or personal use, or for the internal or personal use of specific clients, beyond the fair use provisions granted by the U.S. Copyright Law is authorized by the publishers subject to payment of copying fees. The Transactional Reporting Service base fee for this volume is $18.00 per article (or portion thereof), which should be paid directly to the Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923. Payment may also be made electronically through CCC Online at copyright.com. Other copying for republication, resale, advertising or promotion, or any form of systematic or multiple reproduction of any material in this book is prohibited except with permission in writing from the publisher. The CCC fee code is 0277-786X/14/$18.00. Printed in the United States of America. Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. Papers are published as they are submitted and meet publication criteria. A unique, consistent, permanent citation identifier (CID) number is assigned to each article at the time of the first publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online, print, and electronic versions of the publication. SPIE uses a six-digit CID article numbering system in which:
The CID Number appears on each page of the manuscript. The complete citation is used on the first page, and an abbreviated version on subsequent pages. Numbers in the index correspond to the last two digits of the six-digit CID Number. Conference CommitteeSymposium Chair Symposium Cochair Conference Chairs
Conference Program Committee
Session Chairs
IntroductionIn our everyday machine vision work, we are facing two big and very complex challenges. On one hand, we are doing scientific research in exploring the fundamental behavior of imaging systems and methods. On the other hand, we cooperate strongly with industrial needs for reliable quality under constraints of a reasonable budget. There are clear gaps in the goals of these two challenges and even contradictions in their demands. Our conference, Machine Vision Applications, serves as a forum to discuss efforts that span these demands by bringing scientific research and industrial needs together. On reading the contributions to this conference, one will get a feel for how the different branches of machine vision serve to support industrial needs. You will find papers describing quality control issues at manufacturing processes, agricultural evaluations, face detection for security purposes, 3D topographical modelling by airborne images, hyperspectral detection for biological surveys, and many others. There are also papers concerning a bit more abstract level of machine vision indicating improvements in algorithms—speed, reliability, and memory usage—by keeping the quality of the overall evaluation task. In this context, our community offers the “Best Paper Award” for contributions that combine three essential aspects: scientific background, industrial reliability, and clarity in writing, presentation, and discussion. The paper, “Depth and all-in-focus images obtained by multi-line-scan light-field approach,” (9024-07), has been selected for this award. Congratulations! Kurt S. Niel Philip R. Bingham |