Content -- Based Image Retrieval Using the Dual-Tree Complex Wavelet Transform

Author

Vetova, Stella ; Ivanov, Ivan

Author_Institution

Inst. of Inf. & Commun. Technol., Sofia, Bulgaria

fYear

2014

Firstpage

165

Lastpage

170

Abstract

The following paper presents a novel and effective algorithm for Content-Based Image Retrieval. To design it we used the Dual-Tree Complex Wavelet Transform for image feature extraction and Hausdorff distance to compute similarity distance between the feature vector of the query-image and all the image feature vectors stored in the image database. Then, we performed experiments to estimate the effectiveness of the proposed algorithm which showed high values of precision.

Keywords

content-based retrieval; feature extraction; image retrieval; trees (mathematics); wavelet transforms; Hausdorff distance; content-based image retrieval; dual-tree complex wavelet transform; image feature extraction; image feature vector; similarity distance; Algorithm design and analysis; Continuous wavelet transforms; Feature extraction; Image retrieval; Vectors; CBIR; Content-Based Image Retrieval; DT CWT; DT CWT coefficients; Dual-Tree Complex Wavelet Transform; Haus; effectiveness; feature extraction; feature vector; image decomposition; image signature; precision; recall; wavelet coefficients; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematics and Computers in Sciences and in Industry (MCSI), 2014 International Conference on

Print_ISBN

978-1-4799-4744-7

Type

conf

DOI

10.1109/MCSI.2014.51

Filename

7046177