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Volumn 2, Issue 2, 1997, Pages 211-217

Automatic threshold selection using histogram quantization

Author keywords

Biomedical imaging; Histogram quantization; Image analysis; Multilevel thresholding

Indexed keywords


EID: 0000607091     PISSN: 10833668     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.268965     Document Type: Article
Times cited : (14)

References (10)
  • 2
    • 0025199076 scopus 로고
    • A peak detection algorithm and its application to histogram-based image data reduction
    • M. I. Sezan, "A peak detection algorithm and its application to histogram-based image data reduction," Computer Vis Graphics Image Proc. 49, 36-51 (1990).
    • (1990) Computer Vis Graphics Image Proc. , vol.49 , pp. 36-51
    • Sezan, M.I.1
  • 3
    • 84997610963 scopus 로고
    • A new stochastic model-based image segmentation technique for MR images
    • Y. Wang and T. Lei, "A new stochastic model-based image segmentation technique for MR images," Proc. 1st IEEE Intl. Conf. Image Proc., pp. 182-185 (1994).
    • (1994) Proc. 1st IEEE Intl. Conf. Image Proc. , pp. 182-185
    • Wang, Y.1    Lei, T.2
  • 5
    • 0028426846 scopus 로고
    • Automatic threshold selection using the wavelet transform
    • J. C. Olivo, "Automatic threshold selection using the wavelet transform," Graphical Models Image Proc. 56(3), 205-218 (1994).
    • (1994) Graphical Models Image Proc. , vol.56 , Issue.3 , pp. 205-218
    • Olivo, J.C.1
  • 6
    • 0020722087 scopus 로고
    • Histogram concavity analysis as an aid in threshold selection
    • A. Rosenfeld and P. De La Torre, "Histogram concavity analysis as an aid in threshold selection," IEEE Trans. Systems Man Cybernet. 13, 231-235 (1983).
    • (1983) IEEE Trans. Systems Man Cybernet. , vol.13 , pp. 231-235
    • Rosenfeld, A.1    De La Torre, P.2
  • 7
    • 0003748753 scopus 로고
    • Some extensions of the K-means algorithm for image segmentation and pattern classification
    • MIT Artificial Intelligence Laboratory, Cambridge, MA
    • J. L. Marroquin and F. Girosi, "Some extensions of the K-means algorithm for image segmentation and pattern classification," Technical Report, MIT Artificial Intelligence Laboratory, Cambridge, MA (1993).
    • (1993) Technical Report
    • Marroquin, J.L.1    Girosi, F.2
  • 9
    • 84937350296 scopus 로고
    • Quantizing for minimum distortion
    • J. Max, "Quantizing for minimum distortion," IRE Trans. Inform. Theory 6, 7-12 (1960).
    • (1960) IRE Trans. Inform. Theory , vol.6 , pp. 7-12
    • Max, J.1
  • 10
    • 0010406939 scopus 로고
    • Quantification of MR brain images by probabilistic self-organizing map
    • Y. Wang, T. Adali, and C. Lau, "Quantification of MR brain images by probabilistic self-organizing map," Radiology 197(P), 252-253 (1995).
    • (1995) Radiology , vol.197 , Issue.P , pp. 252-253
    • Wang, Y.1    Adali, T.2    Lau, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.