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Title: 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, combinations of spatial orientation tree (SOT), two-dimensional complex wavelet transform (CWT) and vocabulary tree (VT) is used for feature collection and retrieval of the images from natural as well as texture image database. SOT represents the parent-offspring relationship among the wavelet coefficients in multi-resolution wavelet sub-bands. Similarly, CWT captures directional information more accurately as compared to discrete wavelet transforms (DWT). SOT gives the set of descriptor vectors for each image which are further indexed by using vocabulary tree. The proposed method is tested on Corel 1000 and texture image database (Brodatz and USC) and the retrieval results have demonstrated a significant improvement in average precision, average recall and average rank compared to complex wavelet transform (CWT), optimal quantized wavelet correlogram (OQWC), Gabor wavelet correlogram (GWC). © 2010 ACM.
Citation: Proceedings of ACM International Conference Series, (2010), 359- 366. Chennai
Issue Date: 2010
Keywords: CBIR
Complex wavelet transform
Gabor wavelet correlogram
Spatial orientation tree
Vocabulary tree
ISBN: 9781450300605
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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