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Volumn 21, Issue 12, 2003, Pages 1019-1026

Image analysis by bidimensional empirical mode decomposition

Author keywords

Bidimensional empirical mode decomposition; Radial basis function; Surface interpolation; Texture analysis; Unsupervised texture decomposition

Indexed keywords

ALGORITHMS; MORPHOLOGY; RADIAL BASIS FUNCTION NETWORKS;

EID: 0141887031     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(03)00094-5     Document Type: Article
Times cited : (712)

References (36)
  • 1
    • 85087216232 scopus 로고    scopus 로고
    • Geodesic reconstruction, saddle zones and hierarchical segmentation
    • Beucher S. Geodesic reconstruction, saddle zones and hierarchical segmentation. Image Anal. Stereol. 20:2001;137-141.
    • (2001) Image Anal. Stereol. , vol.20 , pp. 137-141
    • Beucher, S.1
  • 6
    • 0024683568 scopus 로고
    • Fractal feature analysis and classification in medical imaging
    • Chen C.C., Daponte J.S., Fox M.D. Fractal feature analysis and classification in medical imaging. IEEE Trans. Med. Imaging. 8:1989;133-142.
    • (1989) IEEE Trans. Med. Imaging , vol.8 , pp. 133-142
    • Chen, C.C.1    Daponte, J.S.2    Fox, M.D.3
  • 7
    • 0024053929 scopus 로고
    • Complete discrete 2D Gabor transform by neural networks for image analysis and compression
    • Daugman J. Complete discrete 2D Gabor transform by neural networks for image analysis and compression. IEEE Trans. Acoust., Speech, Signal Process. 36:1988;1169-1179.
    • (1988) IEEE Trans. Acoust., Speech, Signal Process. , vol.36 , pp. 1169-1179
    • Daugman, J.1
  • 9
    • 0033097039 scopus 로고    scopus 로고
    • Segmentation of monochrome and color textures using moving average modeling approach
    • Eom K.B. Segmentation of monochrome and color textures using moving average modeling approach. Image Vision Comput. 17:(3):1999;231-242.
    • (1999) Image Vision Comput. , vol.17 , Issue.3 , pp. 231-242
    • Eom, K.B.1
  • 12
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • Haralick R. Statistical and structural approaches to texture. IEEE Proc. 67:(5):1979;786-804.
    • (1979) IEEE Proc. , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.1
  • 13
    • 0033892018 scopus 로고    scopus 로고
    • Multidimensional quasi-eigenfunction approximations and multicomponent AM-FM models
    • Havlicek J.P., Harding D.S., Bovik A.C. Multidimensional quasi-eigenfunction approximations and multicomponent AM-FM models. IEEE Trans. Image Process. 9:(2):2000;227-242.
    • (2000) IEEE Trans. Image Process. , vol.9 , Issue.2 , pp. 227-242
    • Havlicek, J.P.1    Harding, D.S.2    Bovik, A.C.3
  • 14
    • 0032097785 scopus 로고    scopus 로고
    • High resolution spectral analysis of images using the pseudo-Wigner distribution
    • Hormigo J., Cristóbal G. High resolution spectral analysis of images using the pseudo-Wigner distribution. IEEE Trans. Signal Process. 46:(6):1998;1757-1763.
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.6 , pp. 1757-1763
    • Hormigo, J.1    Cristóbal, G.2
  • 15
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis
    • Huang N., et al. The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis. Proc. R. Soc., Lond. A. 454:1998;903-995.
    • (1998) Proc. R. Soc., Lond. A , vol.454 , pp. 903-995
    • Huang, N.1
  • 16
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using Gabor filters
    • Jain A.K., Farrokhnia F. Unsupervised texture segmentation using Gabor filters. Pattern Recognition. 24:(12):1991;1167-1186.
    • (1991) Pattern Recognition , vol.24 , Issue.12 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 17
    • 0020777691 scopus 로고
    • Textons, the fundamental elements in preattentive vision and perception of textures
    • Julesz B., Bergen J.R. Textons, the fundamental elements in preattentive vision and perception of textures. The Bell Syst. Technical J. 62:(6):1983;1619-1645.
    • (1983) The Bell Syst. Technical J. , vol.62 , Issue.6 , pp. 1619-1645
    • Julesz, B.1    Bergen, J.R.2
  • 18
    • 0002997247 scopus 로고
    • An Adaptive Approach for Texture Segmentation by Multi-channel Wavelet Frames
    • August, Gainesville, FL: Center for Computer Vision and Visualization, University of Florida
    • Laine A., Fan J. An Adaptive Approach for Texture Segmentation by Multi-channel Wavelet Frames. Technical Report TR-93-025. August 1993;Center for Computer Vision and Visualization, University of Florida, Gainesville, FL.
    • (1993) Technical Report , vol.TR-93-025
    • Laine, A.1    Fan, J.2
  • 20
    • 14844353591 scopus 로고    scopus 로고
    • Texture classification using spectral histograms
    • OSU-CISRC-7/2000-TR17, citeseer.nj.nec.com/liu00texture.html
    • X. Liu, D. Wang, Texture classification using spectral histograms, Electronic report 25 (OSU-CISRC-7/2000-TR17), citeseer.nj.nec.com/liu00texture.html .
    • Electronic Report , vol.25
    • Liu, X.1    Wang, D.2
  • 21
    • 0030127769 scopus 로고    scopus 로고
    • Wavelets for a vision
    • Mallat S. Wavelets for a vision. Proc. IEEE. 84:(4):1996;604-614.
    • (1996) Proc. IEEE , vol.84 , Issue.4 , pp. 604-614
    • Mallat, S.1
  • 22
    • 0041874259 scopus 로고    scopus 로고
    • Texture Analysis Methods: A Review
    • Technical University of Lodz
    • A. Materka, M. Strzelecki, Texture Analysis Methods: A Review. Technical University of Lodz (1998), COST B11 Report.
    • (1998) COST B11 Report
    • Materka, A.1    Strzelecki, M.2
  • 25
    • 79960849136 scopus 로고    scopus 로고
    • Empirical mode decomposition: A new tool for S-wave detection
    • Networks Algorithms (PNA), PNA-R0203, ISSN 1386-3711
    • Oonincx P.J. Empirical mode decomposition: a new tool for S-wave detection. CWI Rep. Probab., Networks Algorithms (PNA). PNA-R0203:2002;. ISSN 1386-3711.
    • (2002) CWI Rep. Probab.
    • Oonincx, P.J.1
  • 27
    • 0005447006 scopus 로고    scopus 로고
    • Morphological pseudo bandpass image decompositions
    • Peters R.A. II. Morphological pseudo bandpass image decompositions. J. Electron. Imaging. 5:(2):1996;198-213.
    • (1996) J. Electron. Imaging , vol.5 , Issue.2 , pp. 198-213
    • Peters R.A. II1
  • 28
    • 0010025883 scopus 로고
    • Visual Analyses of Texture in the Detection and Recognition of Objects
    • New York: Academic Press
    • Pickett R.M. Visual Analyses of Texture in the Detection and Recognition of Objects. Picture Processing and Psyeho Pietories. 1970;Academic Press, New York.
    • (1970) Picture Processing and Psyeho Pietories
    • Pickett, R.M.1
  • 29
    • 0030151223 scopus 로고    scopus 로고
    • A comparison of texture feature extraction using adaptive Gabor filtering pyramidal and tree structured wavelet transforms
    • O. Pichler, A. Teuner, B.J. Hosticka, A comparison of texture feature extraction using adaptive Gabor filtering pyramidal and tree structured wavelet transforms, Pattern Recognition (29) (1996) 733-742.
    • (1996) Pattern Recognition , Issue.29 , pp. 733-742
    • Pichler, O.1    Teuner, A.2    Hosticka, B.J.3
  • 31
    • 0025256165 scopus 로고
    • Segmentation of textured images and Gestalt organization using spatial/spatial-frequency representations
    • Reed T.R., Wechesler H. Segmentation of textured images and Gestalt organization using spatial/spatial-frequency representations. IEEE Trans. Pattern Anal. Mach. Intell. 12:1990;1-12.
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , pp. 1-12
    • Reed, T.R.1    Wechesler, H.2
  • 32
    • 0026927227 scopus 로고
    • An efficient approach to estimate fractal dimension of textural images
    • Sarkar N., Chaudhuri B.B. An efficient approach to estimate fractal dimension of textural images. Pattern Recognition. 25:(9):1992;1035-1041.
    • (1992) Pattern Recognition , vol.25 , Issue.9 , pp. 1035-1041
    • Sarkar, N.1    Chaudhuri, B.B.2
  • 34
    • 0029409269 scopus 로고
    • Texture classification and segmentation using wavelet frames
    • Unser M. Texture classification and segmentation using wavelet frames. IEEE Trans. Image Process. 4:(11):1995;1549-1560.
    • (1995) IEEE Trans. Image Process. , vol.4 , Issue.11 , pp. 1549-1560
    • Unser, M.1
  • 35
    • 0027576716 scopus 로고
    • Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms
    • technical report 91-16, Harvard Robotics Laboratory, November 1991
    • Vincent L. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, technical report 91-16, Harvard Robotics Laboratory, November 1991. IEEE Trans. Image Process. 2:(2):1993;176-201.
    • (1993) IEEE Trans. Image Process. , vol.2 , Issue.2 , pp. 176-201
    • Vincent, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.