Local Binary Patterns: New Variants and Applications

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors, and LBP variants. This volume provides the latest reviews of the literature and a presentation of some of the best LBP variants by researchers at the

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Sheryl Brahnam Lakhmi C. Jain Loris Nanni Alessandra Lumini Editors

Local Binary Patterns: New Variants and Applications

Studies in Computational Intelligence Volume 506

Series Editor J. Kacprzyk, Warsaw, Poland

For further volumes: http://www.springer.com/series/7092

Sheryl Brahnam Lakhmi C. Jain Loris Nanni Alessandra Lumini •



Editors

Local Binary Patterns: New Variants and Applications

123

Editors Sheryl Brahnam Computer Information Systems Missouri State University Springfield USA

Loris Nanni Departimento di Elettronica e Informatica Università di Padova Padua Italy

Lakhmi C. Jain Faculty of Education, Science, Technology and Mathematics University of Canberra Canberra Australia

Alessandra Lumini Department of Electronic, Informatics and Systems Università di Bologna Cesena Italy

ISSN 1860-949X ISBN 978-3-642-39288-7 DOI 10.1007/978-3-642-39289-4

ISSN 1860-9503 (electronic) ISBN 978-3-642-39289-4 (eBook)

Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013945803 Ó Springer-Verlag Berlin Heidelberg 2014 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

Texture is an important characteristic of many types of images. It can be seen in images ranging from multispectral remotely sensed data to microscop

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