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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

M-Band and Rotated M-Band Dual-Tree Complex Wavelet Transform for Texture Image Retrieval

verfasst von : K. Prasanthi Jasmine, P. Rajesh Kumar

Erschienen in: Intelligent Computing, Networking, and Informatics

Verlag: Springer India

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Abstract

A new set of two-dimensional (2D) M-band dual-tree complex wavelet transform (M_band_DT_CWT) and rotated M_band_DT_CWT is designed to improve the texture retrieval performance. Unlike the standard dual-tree complex wavelet transform (DT_CWT), which gives a logarithmic frequency resolution, the M-band decomposition gives a mixture of logarithmic and linear frequency resolution. Most texture image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, we propose a novel approach for texture image retrieval using M_band_DT_CWT and rotated M_band_DT_CWT (M_band_DT_RCWT) by computing the energy, standard deviation, and their combination on each sub-band of the decomposed image. To check the retrieval performance, texture database of 1,856 textures is created from Brodatz album. Retrieval efficiency and accuracy using proposed features are found to be superior to other existing methods.

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Vorheriges Kapitel DBC Co-occurrence Matrix for Texture Image Indexing and Retrieval
Nächstes Kapitel A Rank-Based Hybrid Algorithm for Scheduling Data- and Computation-Intensive Jobs in Grid Environments
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Metadaten
Titel
M-Band and Rotated M-Band Dual-Tree Complex Wavelet Transform for Texture Image Retrieval
verfasst von
K. Prasanthi Jasmine
P. Rajesh Kumar
Copyright-Jahr
2014
Verlag
Springer India
Buch
Intelligent Computing, Networking, and Informatics

Print ISBN: 978-81-322-1664-3

Electronic ISBN: 978-81-322-1665-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-81-322-1665-0_78