메뉴 건너뛰기




Volumn 11, Issue 3-4, 2008, Pages 425-434

Fusion of textural statistics using a similarity measure: Application to texture recognition and segmentation

Author keywords

Feature fusion and selection; MRF based texture segmentation; Non parametric feature statistics; Texture recognition

Indexed keywords


EID: 50549086716     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-008-0108-z     Document Type: Article
Times cited : (19)

References (34)
  • 2
    • 0032663328 scopus 로고    scopus 로고
    • Filtering for texture classification: A comparative study
    • 4
    • Randen T, Husoy J (1999) Filtering for texture classification: a comparative study. IEEE Trans Pattern Anal Mach Intell 21(4):291-310
    • (1999) IEEE Trans Pattern Anal Mach Intell , vol.21 , pp. 291-310
    • Randen, T.1    Husoy, J.2
  • 3
    • 0021491081 scopus 로고
    • Characterization and estimation of two-dimensional ARMA models
    • Kashyap RL (1984) Characterization and estimation of two-dimensional ARMA models. IEEE Trans Inf Theory 30:736-745
    • (1984) IEEE Trans Inf Theory , vol.30 , pp. 736-745
    • Kashyap, R.L.1
  • 4
    • 0026900840 scopus 로고
    • Performance evaluation for four class of texture features
    • 8
    • Ohanian PP, Dubes RC (1992) Performance evaluation for four class of texture features. Pattern Recognit 25(8):819-833
    • (1992) Pattern Recognit , vol.25 , pp. 819-833
    • Ohanian, P.P.1    Dubes, R.C.2
  • 6
    • 0028517634 scopus 로고
    • Local frequency features for texture classification
    • 10
    • Strand J, Taxt T (1994) Local frequency features for texture classification. Int Conf Pattern Recognit 27(10):1397-1406
    • (1994) Int Conf Pattern Recognit , vol.27 , pp. 1397-1406
    • Strand, J.1    Taxt, T.2
  • 8
    • 33751579719 scopus 로고    scopus 로고
    • Spatial texture analysis: A comparative study
    • Singh M, Singh S (2002) Spatial texture analysis: a comparative study. Int Conf Pattern Recognit 1:676-679
    • (2002) Int Conf Pattern Recognit , vol.1 , pp. 676-679
    • Singh, M.1    Singh, S.2
  • 9
    • 10044291040 scopus 로고    scopus 로고
    • Feature fusion for image texture segmentation
    • Clausi A, Deng H (2004) Feature fusion for image texture segmentation. Int Conf Pattern Recognit 1:580-583
    • (2004) Int Conf Pattern Recognit , vol.1 , pp. 580-583
    • Clausi, A.1    Deng, H.2
  • 10
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • 5
    • Haralick R (1979) Statistical and structural approaches to texture. Proc IEEE 67(5):786-804
    • (1979) Proc IEEE , vol.67 , pp. 786-804
    • Haralick, R.1
  • 11
    • 0038448953 scopus 로고    scopus 로고
    • Texture classification using spectral histograms
    • 6
    • Xiuwen L, DeLiang W (2003) Texture classification using spectral histograms. IEEE Trans Image Process 12(6):661-670
    • (2003) IEEE Trans Image Process , vol.12 , pp. 661-670
    • Xiuwen, L.1    Deliang, W.2
  • 12
    • 50549090277 scopus 로고    scopus 로고
    • 3D texture recognition using bidirectional feature histograms
    • 12
    • Cula OG, Dana K (2003) 3D texture recognition using bidirectional feature histograms. IEEE Trans Pattern Anal Mach Intell 25(12):1619-1624
    • (2003) IEEE Trans Pattern Anal Mach Intell , vol.25 , pp. 1619-1624
    • Cula, O.G.1    Dana, K.2
  • 13
    • 10044227540 scopus 로고    scopus 로고
    • Integration of feature distributions for color texture segmentation
    • Nammalwar P, Ghita O, Whelan PF (2005) Integration of feature distributions for color texture segmentation. Conf Pattern Recognit 1:716-719
    • (2005) Conf Pattern Recognit , vol.1 , pp. 716-719
    • Nammalwar, P.1    Ghita, O.2    Whelan, P.F.3
  • 14
    • 33750231171 scopus 로고    scopus 로고
    • Texture segmentation using LBP embedded region competition
    • 1
    • Xu Q, Yang J, Ding S (2004) Texture segmentation using LBP embedded region competition. Electron Lett Comput Vis Image Anal 5(1):41-47
    • (2004) Electron Lett Comput Vis Image Anal , vol.5 , pp. 41-47
    • Xu, Q.1    Yang, J.2    Ding, S.3
  • 15
    • 0346119944 scopus 로고    scopus 로고
    • Motion recognition using non-parametric image motion models estimated from temporal and multiscale cooccurrence statistics
    • 12
    • Fablet R, Bouthemy P (2003) Motion recognition using nonparametric image motion models estimated from temporal and multiscale cooccurrence statistics. IEEE Trans Pattern Anal Mach Intell 25(12):1619-1624
    • (2003) IEEE Trans Pattern Anal Mach Intell , vol.25 , pp. 1619-1624
    • Fablet, R.1    Bouthemy, P.2
  • 16
    • 0032025550 scopus 로고    scopus 로고
    • Filters, random fields and maximum entropy (frame): Toward a unified theory for texture modeling
    • 2
    • Zhu XLSC, Wu Y (1998) Filters, random fields and maximum entropy (frame): toward a unified theory for texture modeling. Int J Comput Vis 27(2):107-126
    • (1998) Int J Comput Vis , vol.27 , pp. 107-126
    • Xlsc, Z.1    Wu, Y.2
  • 17
    • 0030288153 scopus 로고    scopus 로고
    • Texture modeling by multiple pairwise pixel interactions
    • 11
    • Gimel'farb G (1996) Texture modeling by multiple pairwise pixel interactions. IEEE Trans Pattern Anal Mach Intell 18(11):1110-1114
    • (1996) IEEE Trans Pattern Anal Mach Intell , vol.18 , pp. 1110-1114
    • Gimel'Farb, G.1
  • 18
    • 0026398342 scopus 로고
    • Unsupervised textures segmentation using gabor filters
    • 12
    • Jain A, Farrokhania F (1991) Unsupervised textures segmentation using gabor filters. Pattern Recognit 24(12):1167-1186
    • (1991) Pattern Recognit , vol.24 , pp. 1167-1186
    • Jain, A.1    Farrokhania, F.2
  • 19
    • 0027677864 scopus 로고
    • Texture analysis and classification with tree-structured wavelet transform
    • 4
    • Chang T, kuo C (1993) Texture analysis and classification with tree-structured wavelet transform. IEEE Trans Image Process 2(4):429-441
    • (1993) IEEE Trans Image Process , vol.2 , pp. 429-441
    • Chang, T.1    Kuo, C.2
  • 21
    • 0001473437 scopus 로고
    • On the estimation of a probability density function and the mode
    • Parzen E (1962) On the estimation of a probability density function and the mode. Ann Math Stat 33:1065-1076
    • (1962) Ann Math Stat , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 22
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • 12
    • Kohavi R, John G (1997) Wrappers for feature subset selection. Artif Intell 97(12):273-324
    • (1997) Artif Intell , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 23
    • 84950881632 scopus 로고
    • Probabilistic solution of ill-posed problems in computational vision
    • Marroquin J, Mitter S, Poggio T (1987) Probabilistic solution of ill-posed problems in computational vision. J Am Stat Assoc 82:76-89
    • (1987) J Am Stat Assoc , vol.82 , pp. 76-89
    • Marroquin, J.1    Mitter, S.2    Poggio, T.3
  • 24
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • 6
    • Geman S, Geman G (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell 6(6):721-741
    • (1984) IEEE Trans Pattern Anal Mach Intell , vol.6 , pp. 721-741
    • Geman, S.1    Geman, G.2
  • 25
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • Besag J (1986) On the statistical analysis of dirty pictures. J R Stat Soc Ser B 48:259-302
    • (1986) J R Stat Soc ser B , vol.48 , pp. 259-302
    • Besag, J.1
  • 26
    • 0000131927 scopus 로고
    • Statistical image segmentation
    • 2
    • Pieczynski W (1992) Statistical image segmentation. Mach Graph Vis 1(2):261-268
    • (1992) Mach Graph Vis , vol.1 , pp. 261-268
    • Pieczynski, W.1
  • 29
    • 0035506958 scopus 로고    scopus 로고
    • Power system security assessment using neural networks: Feature selection using Fisher discrimination
    • 4
    • Jensen CA, El Sharkawi MA, Marks RJ (2001) Power system security assessment using neural networks: feature selection using Fisher discrimination. IEEE Trans Power Syst 16(4):757-763
    • (2001) IEEE Trans Power Syst , vol.16 , pp. 757-763
    • Jensen, C.A.1    El Sharkawi, M.A.2    Marks, R.J.3
  • 30
    • 33746664262 scopus 로고    scopus 로고
    • Sidescan sonar segmentation using active contours and level set methods
    • Lianantonakis M, Petillot YR (2005) Sidescan sonar segmentation using active contours and level set methods. In: Conference proceedings OCEANS '05. 1:719-724
    • (2005) Conference Proceedings OCEANS '05 , vol.1 , pp. 719-724
    • Lianantonakis, M.1    Petillot, Y.R.2
  • 31
    • 33750626260 scopus 로고    scopus 로고
    • The Rebent monitoring network, a spatial integrated acoustic approach to survey nearshore macrobenthic habitats: Application to the bay of Concarneau (South Brittany, France)
    • Ehrhold A, Hamon D, Guillaumont B (2006) The Rebent monitoring network, a spatial integrated acoustic approach to survey nearshore macrobenthic habitats: application to the bay of Concarneau (South Brittany, France). ICES J Mar Sci 63:1604-1615
    • (2006) ICES J Mar Sci , vol.63 , pp. 1604-1615
    • Ehrhold, A.1    Hamon, D.2    Guillaumont, B.3
  • 32
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • Kira K, Rendell L (1992) A practical approach to feature selection. Proc Int Conf Mach Learn 1:249-256
    • (1992) Proc Int Conf Mach Learn , vol.1 , pp. 249-256
    • Kira, K.1    Rendell, L.2
  • 33
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • 1-2
    • Robnik-Sikonja M, Kononenko I (2003) Theoretical and empirical analysis of ReliefF and RReliefF. J Mach Learn Res 53(1-2):23-69
    • (2003) J Mach Learn Res , vol.53 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.