메뉴 건너뛰기




Volumn 47, Issue 9, 2014, Pages 2925-2939

A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval

Author keywords

Image retrieval; Rotation invariant; Statistical models; Texture descriptor; Wavelet frames

Indexed keywords

EQUIVALENCE CLASSES; GRAPHIC METHODS; STATISTICAL METHODS; WAVELET ANALYSIS;

EID: 84900834029     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.03.004     Document Type: Article
Times cited : (39)

References (41)
  • 1
    • 50249128198 scopus 로고    scopus 로고
    • Multiresolution rotation-invariant texture classification using feature extraction in the frequency domain and vector quantization
    • A. Di Lillo, G. Motta, J. Storer, Multiresolution rotation-invariant texture classification using feature extraction in the frequency domain and vector quantization, in: Data Compression Conference, 2008, pp. 452-461
    • (2008) Data Compression Conference , pp. 452-461
    • Di Lillo, A.1    Motta, G.2    Storer, J.3
  • 2
    • 0035121185 scopus 로고    scopus 로고
    • Fast texture description and retrieval of DCT-based compressed images
    • D.-G. Sim, H.-K. Kim, and R.-H. Park Fast texture description and retrieval of DCT-based compressed images Electron. Lett. 37 1 2001 18 19
    • (2001) Electron. Lett , vol.37 , Issue.1 , pp. 18-19
    • Sim, D.-G.1    Kim, H.-K.2    Park, R.-H.3
  • 3
    • 0031672914 scopus 로고    scopus 로고
    • A multiscale representation including opponent color features for texture recognition
    • A. Jain, and G. Healey A multiscale representation including opponent color features for texture recognition IEEE Trans. Image Process. 7 1 1998 124 128
    • (1998) IEEE Trans. Image Process , vol.7 , Issue.1 , pp. 124-128
    • Jain, A.1    Healey, G.2
  • 5
    • 0032663328 scopus 로고    scopus 로고
    • Filtering for texture classification a comparative study
    • J.H.T. Randen Filtering for texture classification a comparative study IEEE Trans. Pattern Anal. Mach. Intell. 20 1999 115 122
    • (1999) IEEE Trans. Pattern Anal. Mach. Intell , vol.20 , pp. 115-122
    • Randen, J.H.T.1
  • 6
    • 72949092128 scopus 로고    scopus 로고
    • Lightweight probabilistic texture retrieval
    • R. Kwitt, and A. Uhl Lightweight probabilistic texture retrieval IEEE Trans. Image Process. 19 1 2010 241 253
    • (2010) IEEE Trans. Image Process , vol.19 , Issue.1 , pp. 241-253
    • Kwitt, R.1    Uhl, A.2
  • 7
    • 73049105700 scopus 로고    scopus 로고
    • A study of relative phase in complex wavelet domain property, statistics and applications in texture image retrieval and segmentation
    • A. Vo, and S. Oraintara A study of relative phase in complex wavelet domain property, statistics and applications in texture image retrieval and segmentation Signal Process.: Image Commun. 25 1 2010 28 46
    • (2010) Signal Process.: Image Commun , vol.25 , Issue.1 , pp. 28-46
    • Vo, A.1    Oraintara, S.2
  • 8
    • 0037001787 scopus 로고    scopus 로고
    • Rotation invariant texture characterization and retrieval using steerable wavelet-domain Hidden Markov Models
    • M.N. Do, and M. Vetterli Rotation invariant texture characterization and retrieval using steerable wavelet-domain Hidden Markov Models IEEE Trans. Multimed. 4 4 2002 517 527
    • (2002) IEEE Trans. Multimed , vol.4 , Issue.4 , pp. 517-527
    • Do, M.N.1    Vetterli, M.2
  • 9
    • 76849088970 scopus 로고    scopus 로고
    • Statistical wavelet subband characterization based on generalized Gamma density and its application in texture retrieval
    • S.K. Choy, and C. Tong Statistical wavelet subband characterization based on generalized Gamma density and its application in texture retrieval IEEE Trans. Image Process. 19 2 2010 281 289
    • (2010) IEEE Trans. Image Process , vol.19 , Issue.2 , pp. 281-289
    • Choy, S.K.1    Tong, C.2
  • 10
    • 34248177257 scopus 로고    scopus 로고
    • Texture image retrieval using rotated wavelet filters
    • M. Kokare, P. Biswas, and B. Chatterji Texture image retrieval using rotated wavelet filters Pattern Recognit. Lett. 28 10 2007 1240 1249
    • (2007) Pattern Recognit. Lett , vol.28 , Issue.10 , pp. 1240-1249
    • Kokare, M.1    Biswas, P.2    Chatterji, B.3
  • 11
    • 0033338289 scopus 로고    scopus 로고
    • Image compression via joint statistical characterization in the wavelet domain
    • R. Buccigrossi, and E. Simoncelli Image compression via joint statistical characterization in the wavelet domain IEEE Trans. Signal Process. 8 1999 1688 1701
    • (1999) IEEE Trans. Signal Process , vol.8 , pp. 1688-1701
    • Buccigrossi, R.1    Simoncelli, E.2
  • 12
    • 0036474679 scopus 로고    scopus 로고
    • Wavelet-based texture retrieval using Generalized Gaussian Density and Kullback-Leibler distance
    • M.N. Do, and M. Vetterli Wavelet-based texture retrieval using Generalized Gaussian Density and Kullback-Leibler distance IEEE Trans. Image Process. 11 2 2002 146 158
    • (2002) IEEE Trans. Image Process , vol.11 , Issue.2 , pp. 146-158
    • Do, M.N.1    Vetterli, M.2
  • 13
    • 0032643166 scopus 로고    scopus 로고
    • Statistical texture characterization from discrete wavelet representations
    • G.V. Wouwer, P. Scheunders, and D.V. Dyck Statistical texture characterization from discrete wavelet representations IEEE Trans. Image Process. 8 1999 592 598
    • (1999) IEEE Trans. Image Process , vol.8 , pp. 592-598
    • Wouwer, G.V.1    Scheunders, P.2    Dyck, D.V.3
  • 14
    • 84859096106 scopus 로고    scopus 로고
    • Wavelet modeling using finite mixtures of Generalized Gaussian Distributions application to texture discrimination and retrieval
    • M. Allili Wavelet modeling using finite mixtures of Generalized Gaussian Distributions application to texture discrimination and retrieval IEEE Trans. Image Process. 21 4 2012 1452 1464
    • (2012) IEEE Trans. Image Process , vol.21 , Issue.4 , pp. 1452-1464
    • Allili, M.1
  • 18
    • 79959619101 scopus 로고    scopus 로고
    • Efficient texture image retrieval using copulas in a Bayesian framework
    • R. Kwitt, P. Meerwald, and A. Uhl Efficient texture image retrieval using copulas in a Bayesian framework IEEE Trans. Image Process. 20 7 2011 2063 2077
    • (2011) IEEE Trans. Image Process , vol.20 , Issue.7 , pp. 2063-2077
    • Kwitt, R.1    Meerwald, P.2    Uhl, A.3
  • 19
    • 48149103749 scopus 로고    scopus 로고
    • Using phase and magnitude information of the complex directional filter bank for texture image retrieval
    • A. Vo, S. Oraintara, T. Nguyen, Using phase and magnitude information of the complex directional filter bank for texture image retrieval, in: IEEE International Conference on Image Processing (ICIP 2007), vol. 4, 2007, pp. 61-64
    • (2007) IEEE International Conference on Image Processing (ICIP 2007) , vol.4 , pp. 61-64
    • Vo, A.1    Oraintara, S.2    Nguyen, T.3
  • 21
    • 20444411826 scopus 로고    scopus 로고
    • Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms
    • K. Jafari-Khouzani, and H. Soltanian-Zadeh Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms IEEE Trans. Image Process. 14 June (6) 2005 783 795
    • (2005) IEEE Trans. Image Process , vol.14 , Issue.JUNE 6 , pp. 783-795
    • Jafari-Khouzani, K.1    Soltanian-Zadeh, H.2
  • 22
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D.G. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2004 91 110
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 23
    • 0035364996 scopus 로고    scopus 로고
    • The mpeg-7 visual standard for content description - An overview
    • T. Sikora The mpeg-7 visual standard for content description - an overview IEEE Trans. Circuits Syst. Video Technol. 11 6 2001 696 702
    • (2001) IEEE Trans. Circuits Syst. Video Technol , vol.11 , Issue.6 , pp. 696-702
    • Sikora, T.1
  • 24
    • 3042673914 scopus 로고    scopus 로고
    • Gaussian MRF rotation-invariant features for image classification
    • H. Deng, and D. Clausi Gaussian MRF rotation-invariant features for image classification IEEE Trans. Pattern Anal. Mach. Intell. 26 7 2004 951 955
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.7 , pp. 951-955
    • Deng, H.1    Clausi, D.2
  • 25
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • T. Ojala, M. Pietikainen, and T. Maenpaa Multiresolution gray-scale and rotation invariant texture classification with local binary patterns IEEE Trans. Pattern Anal. Mach. Intell. 24 7 2002 971 987
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 26
    • 85028099850 scopus 로고    scopus 로고
    • Local directional derivative pattern for rotation invariant texture classification
    • Z. Guo, Q. Li, J. You, D. Zhang, and W. Liu Local directional derivative pattern for rotation invariant texture classification Neural Comput. Appl. 21 2012 1893 1904
    • (2012) Neural Comput. Appl , vol.21 , pp. 1893-1904
    • Guo, Z.1    Li, Q.2    You, J.3    Zhang, D.4    Liu, W.5
  • 30
    • 48349091769 scopus 로고    scopus 로고
    • Globally convergent algorithms for estimating Generalized Gamma Distributions in fast signal and image processing
    • K.-S. Song Globally convergent algorithms for estimating Generalized Gamma Distributions in fast signal and image processing IEEE Trans. IP 17 8 2008 1233 1250
    • (2008) IEEE Trans. IP , vol.17 , Issue.8 , pp. 1233-1250
    • Song, K.-S.1
  • 31
    • 34248599035 scopus 로고    scopus 로고
    • The generalized von Mises distribution
    • R. Gatto, and S. Jammalamadaka The generalized von Mises distribution Stat. Methodol. 4 2007 341 353
    • (2007) Stat. Methodol , vol.4 , pp. 341-353
    • Gatto, R.1    Jammalamadaka, S.2
  • 33
    • 0012053470 scopus 로고    scopus 로고
    • MIT Vision Modeling Group
    • MIT Vision Modeling Group, Vision Texture Database, http://vismod.media. mit.edu/vismod/imagery/VisionTexture
    • Vision Texture Database
  • 34
    • 0012057427 scopus 로고    scopus 로고
    • University of Southern California Signal and Image Processing Institute
    • University of Southern California, The USC-SIPI Image Database, Signal and Image Processing Institute, http://sipi.usc.edu/database/database.php
    • The USC-SIPI Image Database
  • 35
    • 84900795980 scopus 로고    scopus 로고
    • UIUC Texture Database, http://www-cvr.ai.uiuc.edu/poncegrp/data/index. html
    • UIUC Texture Database
  • 36
    • 84900819054 scopus 로고    scopus 로고
    • UMD Texture Database, http://www.cfar.umd.edu/~fer/High-resolution-data- base/hr-database.htm
    • UMD Texture Database
  • 38
    • 61449248988 scopus 로고    scopus 로고
    • Viewpoint invariant texture description using fractal analysis
    • Y. Xu, H. Ji, and C. Fermuller Viewpoint invariant texture description using fractal analysis Int. J. Comput. Vis. 83 1 2009 85 100
    • (2009) Int. J. Comput. Vis , vol.83 , Issue.1 , pp. 85-100
    • Xu, Y.1    Ji, H.2    Fermuller, C.3
  • 39
    • 24344452988 scopus 로고    scopus 로고
    • A sparse texture representation using local affine regions
    • doi
    • S. Lazebnik, C. Schmid, and J. Ponce A sparse texture representation using local affine regions IEEE Trans. Pattern Anal. Mach. Intell. 27 8 2005 1265 1278 doi: http://dx.doi.org/10.1109/TPAMI.2005.151
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell , vol.27 , Issue.8 , pp. 1265-1278
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 41
    • 84871657544 scopus 로고    scopus 로고
    • Wavelet domain multifractal analysis for static and dynamic texture classification
    • H. Ji, X. Yang, H. Ling, and Y. Xu Wavelet domain multifractal analysis for static and dynamic texture classification IEEE Trans. Image Process. 22 1 2013 286 299 Técnicas
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.1 , pp. 286-299
    • Ji, H.1    Yang, X.2    Ling, H.3    Xu, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.