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Title: Rotated complex wavelet transform with vocabulary tree for content based image retrieval
Authors: Gonde A.B.
Maheshwari R.P.
Balasubramanian R.
Published in: Proceedings of ACM International Conference Series
Abstract: In this paper, we propose a new approach for image retrieval by using texture features. Texture features are grabbed by using the combinations of two-dimensional complex wavelet transform (CWT) and rotated complex wavelet filters (RCWF) in combination with spatial orientation tree (SOT) and vocabulary tree (VT). The parent-offspring relationship among the wavelet coefficients in multi-resolution wavelet sub-bands are demonstrated with the help of SOT which gives the set of descriptor vectors for each image that are further indexed by the use of vocabulary tree. The directional information has been captured precisely with the help of CWT and RCWT as when compared with discrete wavelet transform. The proposed method is well established on Texture database and significant improvement in average recall rate is seen as compared to the method adopted using complex wavelet transform and rotated complex wavelet filter. © 2010 ACM.
Citation: Proceedings of ACM International Conference Series, (2010), 284- 291. Allahabad
Issue Date: 2010
Keywords: CBIR
complex wavelet transform
rotated complex wavelet filters
spatial orientation tree
vocabulary tree
ISBN: 9781450304085
Author Scopus IDs: 26639267400
Author Affiliations: Gonde, A.B., Department of Electrical Engineering, IIT Roorkee, India
Maheshwari, R.P., Department of Electrical Engineering, IIT Roorkee, India
Balasubramanian, R., Department of Mathematics, IIT Roorkee, India
Corresponding Author: Gonde, A. B.; Department of Electrical Engineering, IIT RoorkeeIndia; email:
Appears in Collections:Conference Publications [EE]

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