Texture Image Retrieval Using DTCWT-SVD and Local Binary Pattern Features
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초록
The combination texture feature extraction approach for texture image retrieval is proposed in this paper. Two kinds of low level texture features were combined in the approach. One of them was extracted fromsingular value decomposition (SVD) based dual-tree complex wavelet transform (DTCWT) coefficients, andthe other one was extracted from multi-scale local binary patterns (LBPs). The fusion features of SVD basedmulti-directional wavelet features and multi-scale LBP features have short dimensions of feature vector. Thecomparing experiments are conducted on Brodatz and Vistex datasets. According to the experimental results,the proposed method has a relatively better performance in aspect of retrieval accuracy and time complexityupon the existing methods.
Abstract
The combination texture feature extraction approach for texture image retrieval is proposed in this paper. Two kinds of low level texture features were combined in the approach. One of them was extracted fromsingular value decomposition (SVD) based dual-tree complex wavelet transform (DTCWT) coefficients, andthe other one was extracted from multi-scale local binary patterns (LBPs). The fusion features of SVD basedmulti-directional wavelet features and multi-scale LBP features have short dimensions of feature vector. Thecomparing experiments are conducted on Brodatz and Vistex datasets. According to the experimental results,the proposed method has a relatively better performance in aspect of retrieval accuracy and time complexityupon the existing methods.
참고문헌 (18)
- B. S. Manjunath, "Texture features for browsing and retrieval of image data", IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(8), pp.837~842 (1996)
- 윤석범, "창의적 캡스톤 디자인 교육 방법 개발", 한국융합학회논문지, 5(4), pp.15~20 (2014), 한국융합학회
- M. N. Do, "Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance", IEEE Transactions on Image Processing, 11(2), pp.146~158 (2002)
- M. Kokare, "Texture image retrieval using new rotated complex wavelet filters", IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 35(6), pp.1168~1178 (2005)
- Y. Dong, "Texture classification and retrieval using shearlets and linear regression", IEEE Transactions on Cybernetics, 45(3), pp.358~369 (2015)
- T. Ojala, "A comparative study of texture measures with classification based on featured distributions", Pattern Recognition, 29(1), pp.51~59 (1996)
- X. Tan, "Enhanced local texture feature sets for face recognition under difficult lighting conditions", IEEE Transactions on Image Processing, 19(6), pp.1635~1650 (2010)
- Z. Guo, "Rotation invariant texture classification using LBP variance(LBPV)with global matching", Pattern Recognition, 43(3), pp.706~716 (2010)
- B. Zhang, "Local derivative pattern versus local binary pattern : face recognition with high-order local pattern descriptor", IEEE Transactions on Image Processing, 19(2), pp.533~544 (2010)
- S. Murala, "Local tetra patterns : a new feature descriptor for content-based image retrieval", IEEE Transactions on Image Processing, 21(5), pp.2874~2886 (2012)
- I. J. Jacob, "Local oppugnant color texture pattern for image retrieval system", Pattern Recognition Letters, 42, pp.72~78 (2014)
- M. Subrahmanyam, "Local maximum edge binary patterns : A new descriptor for image retrieval and object tracking", Signal Processing, 92(6), pp.1467~1479 (2012)
- S. K. Vipparthi, "Color directional local quinary patterns for content based indexing and retrieval", Human-centric Computing and Information Sciences, 4 (2014)
- L. K. Rao, "Local quantized extrema patterns for content-based natural and texture image retrieval", Human-centric Computing and Information Sciences, 5 (2015)
- A. Hassan, "Rotation and scale invariant texture classification by compensating for distribution changes using covariate shift in uniform local binary patterns", Electronics Letters, 50(1), pp.27~29 (2014)
- P. Brodatz, "Textures: A Photographic Album for Artist and Designers" (1966), Dover Publications
- "The USC-SIPI Image Database"[URL]
- "Vision texture"[URL]