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Volumn , Issue , 2008, Pages 591-598

Colour retinal image enhancement based on domain knowledge

Author keywords

[No Author keywords available]

Indexed keywords

CORRECTION FACTORS; DATA SETS; DOMAIN KNOWLEDGE; EXISTING METHODS; IMAGING GEOMETRIES; NON-UNIFORM SAMPLINGS; RETINAL IMAGES;

EID: 65249131632     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICVGIP.2008.70     Document Type: Conference Paper
Times cited : (68)

References (13)
  • 1
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    • Detection of blood vessels in retinal images using two-dimensional matched filters
    • S. Chaudhuri, S. Chatterjee, and N. Katz. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imaging, 3(8):263-269, 1989.
    • (1989) IEEE Trans. Med. Imaging , vol.3 , Issue.8 , pp. 263-269
    • Chaudhuri, S.1    Chatterjee, S.2    Katz, N.3
  • 2
    • 17044398041 scopus 로고    scopus 로고
    • Novel histogram processing for colour image enhancement
    • J. Duan and G. Qiu. Novel histogram processing for colour image enhancement. Proc. Int. Conf. Image and Graphics, pages 55-58, 2004.
    • (2004) Proc. Int. Conf. Image and Graphics , pp. 55-58
    • Duan, J.1    Qiu, G.2
  • 3
    • 18244368954 scopus 로고    scopus 로고
    • Luminosity and contrast normalization in retinal images
    • M. Foracchia, E. Grisan, and A. Ruggeri. Luminosity and contrast normalization in retinal images. Medical Image Analysis, 3(9):179-190, 2005.
    • (2005) Medical Image Analysis , vol.3 , Issue.9 , pp. 179-190
    • Foracchia, M.1    Grisan, E.2    Ruggeri, A.3
  • 5
    • 65249153983 scopus 로고    scopus 로고
    • Equalizing illumination in a retinal image using blood vessels as a reference
    • Technical Report:URL http
    • A. Hoover. Equalizing illumination in a retinal image using blood vessels as a reference. Technical Report:URL http://www.parl.clemson.edu/stare/eq/.
    • Hoover, A.1
  • 6
    • 0033623974 scopus 로고    scopus 로고
    • Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
    • A. Hoover, V. Kouznetsova, and M. Goldbaum. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging, 3(19):203-210, 2000.
    • (2000) IEEE Trans. Med. Imaging , vol.3 , Issue.19 , pp. 203-210
    • Hoover, A.1    Kouznetsova, V.2    Goldbaum, M.3
  • 9
    • 0043240421 scopus 로고    scopus 로고
    • The preprocessing of subtraction and the enhancement for biomedical image of retinal blood vessels
    • T. S. Lin, M. H. Du, and J. T. Xu. The preprocessing of subtraction and the enhancement for biomedical image of retinal blood vessels. Journal of Biomedical Engg., 1(20):56-59, 2003.
    • (2003) Journal of Biomedical Engg , vol.1 , Issue.20 , pp. 56-59
    • Lin, T.S.1    Du, M.H.2    Xu, J.T.3
  • 10
    • 33845472876 scopus 로고    scopus 로고
    • Enhancing retinal image by the contourlet transform
    • P.Feng, Y. Pan, B. Wei, W. Jin, and D. Mi. Enhancing retinal image by the contourlet transform. Pattern Recognition Letters, 4(28):516-522, 2007.
    • (2007) Pattern Recognition Letters , vol.4 , Issue.28 , pp. 516-522
    • Feng, P.1    Pan, Y.2    Wei, B.3    Jin, W.4    Mi, D.5
  • 12
    • 33947496147 scopus 로고    scopus 로고
    • Novel and adaptive contribution of the red channel in pre-processing of colour fundus images
    • N. M. Salem and A. K. Nandi. Novel and adaptive contribution of the red channel in pre-processing of colour fundus images. Journal of the Franklin Institute, (344):243-256, 2007.
    • (2007) Journal of the Franklin Institute , vol.344 , pp. 243-256
    • Salem, N.M.1    Nandi, A.K.2
  • 13
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    • llumination normalization of retinal images using sampling and interpolation
    • Y. Wang, W. Tsu, and S. Lee. llumination normalization of retinal images using sampling and interpolation. Proc. SPIE, Medical Imaging, pages 500-507, 2001.
    • (2001) Proc. SPIE, Medical Imaging , pp. 500-507
    • Wang, Y.1    Tsu, W.2    Lee, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.