메뉴 건너뛰기




Volumn 5099 LNCS, Issue , 2008, Pages 136-143

A new approach to estimate fractal dimension of texture images

Author keywords

Complexity; Fractal Dimension; Texture Analysis

Indexed keywords

CHLORINE COMPOUNDS; FEATURE EXTRACTION; FRACTAL DIMENSION; FRACTALS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; PARTIAL DISCHARGES; PATTERN RECOGNITION; SIGNAL PROCESSING;

EID: 49049122249     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69905-7_16     Document Type: Conference Paper
Times cited : (39)

References (22)
  • 2
    • 0033080476 scopus 로고    scopus 로고
    • Texture classification using multiresolution markov random field models
    • Wang, L., Liu, J.: Texture classification using multiresolution markov random field models. Pattern Recognition Letters 20(2), 171-182 (1999)
    • (1999) Pattern Recognition Letters , vol.20 , Issue.2 , pp. 171-182
    • Wang, L.1    Liu, J.2
  • 3
    • 0029409269 scopus 로고
    • Texture classification and segmentation using wavelet frames
    • Unser, M.: Texture classification and segmentation using wavelet frames. IEEE Trans. Image Processing 4(11), 1549-1560 (1995)
    • (1995) IEEE Trans. Image Processing , vol.4 , Issue.11 , pp. 1549-1560
    • Unser, M.1
  • 8
    • 0030298487 scopus 로고    scopus 로고
    • Fractal methods and results in cellular morphology - dimensions, lacunarity and multifractals
    • Lange, G.D., Marks, W.B.: Fractal methods and results in cellular morphology - dimensions, lacunarity and multifractals. Journal of Neuroscience Methods 69(2), 123-136 (1996)
    • (1996) Journal of Neuroscience Methods , vol.69 , Issue.2 , pp. 123-136
    • Lange, G.D.1    Marks, W.B.2
  • 9
    • 49049119528 scopus 로고    scopus 로고
    • Coelho, R.C., Costa, L.F.: The box-counting fractal. dimension: Does it provide an accurate subsidy for experimental shape characterization? if so, how to use it? In: Anais do Sibgrapi, 95, pp. 183-191 (1995)
    • Coelho, R.C., Costa, L.F.: The box-counting fractal. dimension: Does it provide an accurate subsidy for experimental shape characterization? if so, how to use it? In: Anais do Sibgrapi, vol. 95, pp. 183-191 (1995)
  • 10
    • 49049105737 scopus 로고    scopus 로고
    • A new box-counting method for estimation of image fractal dimension
    • Li, J., Sun, C., Du, Q.: A new box-counting method for estimation of image fractal dimension. In: International Conference on Image Processing, pp. 3029-3032 (2006)
    • (2006) International Conference on Image Processing , pp. 3029-3032
    • Li, J.1    Sun, C.2    Du, Q.3
  • 13
    • 0003649545 scopus 로고
    • Fractal geometry: Mathematical foundations and applications
    • 288 p. Wiley, Chichester 1990, CALL NUM: QA614.86 .F35
    • Falconer, K.J.: Fractal geometry: mathematical foundations and applications, 288 p. Wiley, Chichester (1990); CALL NUM: QA614.86 .F35 1990
    • (1990)
    • Falconer, K.J.1
  • 15
    • 0035440214 scopus 로고    scopus 로고
    • A fast algorithm for multilevel thresholding
    • Liao, P.S., Chen, T.S., Chung, P.C.: A fast algorithm for multilevel thresholding. J. Inf. Sci. Eng 17(5), 713-727 (2001)
    • (2001) J. Inf. Sci. Eng , vol.17 , Issue.5 , pp. 713-727
    • Liao, P.S.1    Chen, T.S.2    Chung, P.C.3
  • 16
    • 0018306059 scopus 로고
    • A threshold selection method from gray level histograms
    • minimize intra and inter class variance
    • Otsu, N.: A threshold selection method from gray level histograms. IEEE Trans. Systems, Man and Cybernetics 9, 62-66 (1979); minimize intra and inter class variance
    • (1979) IEEE Trans. Systems, Man and Cybernetics , vol.9 , pp. 62-66
    • Otsu, N.1
  • 18
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • Haralick, R.M.: Statistical and structural approaches to texture. Proc. IEEE 67(5), 786-804 (1979)
    • (1979) Proc. IEEE , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.M.1
  • 19
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using Gabor filters
    • Jain, A.K., Farrokhnia, F.: Unsupervised texture segmentation using Gabor filters. Pattern Recognition 24(12), 1167-1186 (1991)
    • (1991) Pattern Recognition , vol.24 , Issue.12 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 20
    • 0011595337 scopus 로고
    • Gabor wavelets for statistical pattern recognition
    • Arbib, M.A, ed, MIT Press, Cambridge
    • Daugman, J., Downing, C.: Gabor wavelets for statistical pattern recognition. In: Arbib, M.A. (ed.) The Handbook of Brain Theory and Neural Networks, pp. 414-419. MIT Press, Cambridge (1995)
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 414-419
    • Daugman, J.1    Downing, C.2
  • 21
    • 0036643398 scopus 로고    scopus 로고
    • Texture classification using gabor filters
    • Idrissa, M., Acheroy, M.: Texture classification using gabor filters. Pattern Recognition Letters 23(9), 1095-1102 (2002)
    • (2002) Pattern Recognition Letters , vol.23 , Issue.9 , pp. 1095-1102
    • Idrissa, M.1    Acheroy, M.2
  • 22
    • 0030213052 scopus 로고    scopus 로고
    • Texture features for browsing and retrieval of image data
    • Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell 18(8), 837-842 (1996)
    • (1996) IEEE Trans. Pattern Anal. Mach. Intell , vol.18 , Issue.8 , pp. 837-842
    • Manjunath, B.S.1    Ma, W.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.