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Volumn 1, Issue , 2004, Pages 584-587

Texture segmentation comparison using grey level Co-occurrence probabilities and Markov random fields

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MARKOV PROCESSES; PROBABILITY; PROGRAM INTERPRETERS; STATISTICS;

EID: 10044222305     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2004.1334208     Document Type: Conference Paper
Times cited : (12)

References (7)
  • 3
    • 0035540780 scopus 로고    scopus 로고
    • Comparison and fusion of co-occurrence, Gabor and MRF texture features for classification of SAR sea-ice imagery
    • D. Clausi. Comparison and fusion of co-occurrence, Gabor and MRF texture features for classification of SAR sea-ice imagery. Atmosphere-Ocean, 39(3):183-194, 2001.
    • (2001) Atmosphere-ocean , vol.39 , Issue.3 , pp. 183-194
    • Clausi, D.1
  • 4
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of grey level quantization
    • D. Clausi. An analysis of co-occurrence texture statistics as a function of grey level quantization. Canadian Journal of Remote Sensing, 28(1):45-62, 2002.
    • (2002) Canadian Journal of Remote Sensing , vol.28 , Issue.1 , pp. 45-62
    • Clausi, D.1
  • 7
    • 0003112904 scopus 로고
    • Texture analysis
    • C. Chen, L. Pau, and P. Wang, editors, chapter 2.1, World Scientific Publishing Company
    • M. Tuceryan and A. Jain. Texture analysis. In C. Chen, L. Pau, and P. Wang, editors, Handbook of Pattern Recognition and Computer Vision, chapter 2.1, pages 235-276. World Scientific Publishing Company, 1993.
    • (1993) Handbook of Pattern Recognition and Computer Vision , pp. 235-276
    • Tuceryan, M.1    Jain, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.