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Volumn 2, Issue , 2008, Pages 605-609

A complete unsupervised learning of mixture models for texture image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE PROCESSING; MIXTURES; NEURAL NETWORKS; SIGNAL PROCESSING; TEXTURES; UNSUPERVISED LEARNING; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

EID: 52049122634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.392     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
    • 0032230584 scopus 로고    scopus 로고
    • Texture defect detection using sub-band domain co-occurrence matrixes
    • Amet, A.L., A. Ertuzun, and A. Ercil, "Texture defect detection using sub-band domain co-occurrence matrixes", Image Anal. Interpretation, Vol. 1, pp. 205-210, 1998.
    • (1998) Image Anal. Interpretation , vol.1 , pp. 205-210
    • Amet, A.L.1    Ertuzun, A.2    Ercil, A.3
  • 2
    • 0033189101 scopus 로고    scopus 로고
    • A Wavelet-based Texture Feature Set Applied to Classification of Multifrequency Polarimetric SAR Images
    • Fukuda, S., Hirosawa, H., "A Wavelet-based Texture Feature Set Applied to Classification of Multifrequency Polarimetric SAR Images." IEEE Trans. Geosci. Remote Sensing. Vol. 37, pp. 2282-2286, 1999.
    • (1999) IEEE Trans. Geosci. Remote Sensing , vol.37 , pp. 2282-2286
    • Fukuda, S.1    Hirosawa, H.2
  • 4
    • 34250762558 scopus 로고    scopus 로고
    • Nasser, S., R. Alkhaldi and G. Vert, A Modified Fuzzy K-means clustering using Expectation Maximization, Fuzzy Systems, 2006 IEEE International Conference on July 16-21, pp.231 - 235, 2006.
    • Nasser, S., R. Alkhaldi and G. Vert, "A Modified Fuzzy K-means clustering using Expectation Maximization", Fuzzy Systems, 2006 IEEE International Conference on July 16-21, pp.231 - 235, 2006.
  • 5
    • 0032269108 scopus 로고    scopus 로고
    • How Many Clusters? Which Clustering? Answers Via Model-Based Cluster Analysis
    • Fraley, C., A.E. Raftery, "How Many Clusters? Which Clustering? Answers Via Model-Based Cluster Analysis.", The Computer Jouranal, Vol.41, No.8, 1998.
    • (1998) The Computer Jouranal , vol.41 , Issue.8
    • Fraley, C.1    Raftery, A.E.2
  • 6
    • 0015680481 scopus 로고
    • Textural Features for Image Classification
    • Nov
    • Haralick, R.M., K. Shanmugan and Its'Hak Dinstein, "Textural Features for Image Classification", IEEE Trans. on SMC, Vol.3, pp.610-621, Nov. 1973.
    • (1973) IEEE Trans. on SMC , vol.3 , pp. 610-621
    • Haralick, R.M.1    Shanmugan, K.2    Dinstein, I.3
  • 7
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H., "A new look at the statistical model identification," IEEETrans. Automatic Control, vol. AC-19, pp. 716-723, 1974.
    • (1974) IEEETrans. Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 8
    • 0000120766 scopus 로고
    • Estimating in dimension of a model
    • Schwarz, G., "Estimating in dimension of a model," Annals of Statistics, vol.6, pp.461-467, 1978.
    • (1978) Annals of Statistics , vol.6 , pp. 461-467
    • Schwarz, G.1
  • 11
    • 52049117369 scopus 로고    scopus 로고
    • On Fitting Mixture Models, Energy Minimization Methods in Computer Vision and Pattern Recognization
    • Figueiredo, M., J. Leitao, and A.K. Jain, "On Fitting Mixture Models," Energy Minimization Methods in Computer Vision and Pattern Recognization - ICPR-2000, pp.87-90, 2000.
    • (2000) ICPR-2000 , pp. 87-90
    • Figueiredo, M.1    Leitao, J.2    Jain, A.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.