Title :
Texture image retrieval using complex directional filter bank
Author :
Vo, An P N ; Nguyen, Truong T. ; Oraintara, Soontorn
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX
Abstract :
In this paper, the shift-invariant complex directional filter bank (CDFB) is proposed for texture image retrieval. By combining the Laplacian pyramid and the CDFB, a new image representation with an overcomplete ratio of less than 8/3 is obtained. The direction subbands´ coefficients are used to form a feature vector for classification. Texture retrieval performance of the proposed representation is compared to those of the conventional transforms including the Gabor wavelet, the contourlet and the steerable pyramid. The overcomplete ratio of the proposed complex directional pyramid is about twice that of the contourlet, and is much lower than those of the other two transforms. An experiment shows that the new transform outperforms the steerable pyramid and the contourlet, and is comparable to the Gabor wavelet in texture image retrieval
Keywords :
Gabor filters; channel bank filters; image representation; image retrieval; image texture; wavelet transforms; Gabor wavelet; Laplacian pyramid; complex directional filter bank; complex directional pyramid; contourlet; image representation; shift-invariant CDFB; steerable pyramid; texture image retrieval; Bandwidth; Discrete wavelet transforms; Feature extraction; Filter bank; Frequency; Gabor filters; Image representation; Image retrieval; Laplace equations; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693878