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

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.

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.

Product details

• Authors: Mohammad Faidzul Nasrudin, Fereshte Nayyeri, Fereshteh Nayyeri
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 31.05.2015
• EAN: 9783659697753
• ISBN: 978-3-659-69775-3
• No. of pages: 108
• Dimensions: 150 mm x 220 mm x 6 mm
• Weight: 160 g
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing