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Safety and Crime Assistance System for a Fast Track Response on Mobile Devices in Bhubaneswar Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Retrieval of Homogeneous Images Using Appropriate Color Space Selection

Authors : L. K. Pavithra, T. Sree Sharmila

Published in: Computational Intelligence in Data Mining

Publisher: Springer Singapore

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Abstract

In this paper, convenient color space selection issue in content-based image retrieval system for low-level feature mining is addressed by the exploration of color edge histogram feature extraction on HSV, YIQ, YUV, and YCbCr color spaces. Moreover, Haar wavelet transform is applied to reduce feature vector count for the beneficial to speed up the retrieval process, and then semantic retrieval is obtained via similarity metric. Retrieval accuracy of each color space is analyzed through the parameters such as precision, recall, and response time of the system. Experimental results show that HSV color space-based retrieval system averagely gives 5%, 18.3%, and 26% high retrieval than the YIQ, YUV, and YCbCr color spaces, respectively.

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Metadata
Title
Retrieval of Homogeneous Images Using Appropriate Color Space Selection
Authors
L. K. Pavithra
T. Sree Sharmila
Copyright Year
2017
Publisher
Springer Singapore
Book
Computational Intelligence in Data Mining

Print ISBN: 978-981-10-3873-0

Electronic ISBN: 978-981-10-3874-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-3874-7_70

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