Title :
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
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;
Conference_Titel :
Mathematics and Computers in Sciences and in Industry (MCSI), 2014 International Conference on
Print_ISBN :
978-1-4799-4744-7
DOI :
10.1109/MCSI.2014.51
