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Similarity Comparison of Images Based on Earth Mover's Distance: Image Matching using a Dimension Reduction Technique - Softcover

 
9783659697753: Similarity Comparison of Images Based on Earth Mover's Distance: Image Matching using a Dimension Reduction Technique

Synopsis

An image retrieval system is a computer system for browsing, searching, and retrieving images from a large database of digital images. Image retrieval technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, crime prevention, medicine and historical research. Improving the image retrieval applications is a major concern in today’s huge databases. This book presents three new dimension reduction methods to improve performance and running time of an image retrieval application using embedded Earth Mover’s Distance. We experimentally evaluate our methods and compare their results with previous methods based on EMD similarity measurement.

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About the Author

Fereshteh was born in Iran. She earned a BSs of Computer Software Engineering in 2005 and MSc of Computer Science in 2013 at the National University of Malaysia. She is well-familiar with programming languages such as Borland Delphi, Matlab, C#, java, php and Asp.Net. Her research interest involves pattern recognition, image and signal processing.

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Fereshteh Nayyeri
ISBN 10: 3659697753 ISBN 13: 9783659697753
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An image retrieval system is a computer system for browsing, searching, and retrieving images from a large database of digital images. Image retrieval technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, crime prevention, medicine and historical research. Improving the image retrieval applications is a major concern in today's huge databases. This book presents three new dimension reduction methods to improve performance and running time of an image retrieval application using embedded Earth Mover's Distance. We experimentally evaluate our methods and compare their results with previous methods based on EMD similarity measurement. 108 pp. Englisch. Seller Inventory # 9783659697753

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Fereshteh Nayyeri|Mohammad Faidzul Nasrudin
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659697753 ISBN 13: 9783659697753
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nayyeri FereshtehFereshteh was born in Iran. She earned a BSs of Computer Software Engineering in 2005 and MSc of Computer Science in 2013 at the National University of Malaysia. She is well-familiar with programming languages such a. Seller Inventory # 158597611

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ISBN 10: 3659697753 ISBN 13: 9783659697753
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Taschenbuch. Condition: Neu. Neuware -An image retrieval system is a computer system for browsing, searching, and retrieving images from a large database of digital images. Image retrieval technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, crime prevention, medicine and historical research. Improving the image retrieval applications is a major concern in today¿s huge databases. This book presents three new dimension reduction methods to improve performance and running time of an image retrieval application using embedded Earth Mover¿s Distance. We experimentally evaluate our methods and compare their results with previous methods based on EMD similarity measurement.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Seller Inventory # 9783659697753

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Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659697753 ISBN 13: 9783659697753
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An image retrieval system is a computer system for browsing, searching, and retrieving images from a large database of digital images. Image retrieval technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, crime prevention, medicine and historical research. Improving the image retrieval applications is a major concern in today's huge databases. This book presents three new dimension reduction methods to improve performance and running time of an image retrieval application using embedded Earth Mover's Distance. We experimentally evaluate our methods and compare their results with previous methods based on EMD similarity measurement. Seller Inventory # 9783659697753

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