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multispectral image processing and pattern recognition techniques for quality inspection of apple PDF

132 Pages·2006·14.57 MB·English
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MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION TECHNIQUES FOR QUALITY INSPECTION OF APPLE FRUITS Devrim Unay Members of the jury: Prof. M. REMY (FPMs), President Prof. J. TRECAT (FPMs) Prof. M.-F. DESTAIN (FUSAGx) Prof. J. HANCQ (FPMs), Co-supervisor Dr. O. DEBEIR (ULB) Prof. B. GOSSELIN (FPMs), Supervisor Dr. C. LEGER (Polytech’Orl´eans) Prof. P. LYBAERT (FPMs), Doyen Dissertation submitted to the Facult´e Polytechnique de Mons for the degree of Doctor of Philosophy in applied sciences (cid:176)c Presses universitaires de Louvain, 2006 Registration of copyright: D/2006/9964/31 ISBN-10: 2-87463-041-1 ISBN-13: 978-2-87463-041-1 Printed in Belgium All rights reserved. No part of this publication may be reproduced, adapted or translated, in any form or by any means, in any country, without the prior permission of Presses universitaires de Louvain. Distribution: wwww.i6doc.com, online university publishers This book and all others from the SIMILAR collection are available on order from bookshops or at: CIACO University Distributors Grand Place, 7 1348 Louvain-la-Neuve, Belgium Tel. +32 10 47 33 78 Fax. +32 10 45 73 50 Email [email protected] 4 To Zeynep... 5

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Machine vision-based works for SC recognition of apple fruit in literature can [25] L. Couvreur, Benchmarking automatic speech recognition algorithms: . cultivars using hyperspectral and multispectral image analysis, Applied
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