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Volumn 56, Issue 3, 2012, Pages

An image segmentation-based thresholding method

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT VECTOR FLOW; HISTORICAL DATA; OBJECT CONTOUR; SEGMENTATION METHODS; SEGMENTATION RESULTS; THRESHOLDING; THRESHOLDING METHODS; WITHIN-CLASS VARIANCES;

EID: 84875459468     PISSN: 10623701     EISSN: 19433522     Source Type: Journal    
DOI: 10.2352/J.ImagingSci.Technol.2012.56.3.030503     Document Type: Article
Times cited : (3)

References (17)
  • 1
    • 33745832284 scopus 로고    scopus 로고
    • Image segmentation by histogram thresholding using hierarchical cluster analysis
    • Z. A. Agus and A. Akira, "Image segmentation by histogram thresholding using hierarchical cluster analysis," Pattern Recognit. Lett. 27, 1515 (2006).
    • (2006) Pattern Recognit. Lett. , vol.27 , pp. 1515
    • Agus, Z.A.1    Akira, A.2
  • 2
    • 0027696845 scopus 로고
    • An analysis of histogram-based thresholding algorithms
    • C. A. Glasbey, "An analysis of histogram-based thresholding algorithms," CVGIP: Graph. Models Image Process. 55, 532 (1993).
    • (1993) CVGIP: Graph. Models Image Process , vol.55 , pp. 532
    • Glasbey, C.A.1
  • 3
    • 0000896186 scopus 로고
    • A comparative performance study of several global thresholding techniques for segmentation
    • S. U. Lee, S. Y. Chung, and R. H. Park, "A comparative performance study of several global thresholding techniques for segmentation," Comput. Vision, Graph. Image Process. 52, 171 (1993).
    • (1993) Comput. Vision, Graph. Image Process , vol.52 , pp. 171
    • Lee, S.U.1    Chung, S.Y.2    Park, R.H.3
  • 5
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • M. Sezgin and B. Sanlur, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imaging 13, 146 (2004).
    • (2004) J. Electron. Imaging , vol.13 , pp. 146
    • Sezgin, M.1    Sanlur, B.2
  • 6
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man Cybern. 9, 62 (1979).
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , pp. 62
    • Otsu, N.1
  • 7
    • 0035440214 scopus 로고    scopus 로고
    • A fast algorithm for multilevel thresholding
    • P. S. Liao, T. S. Chen, and P. C. Chung, "A fast algorithm for multilevel thresholding," J. Inf. Sci. Eng. 17, 713 (2001).
    • (2001) J. Inf. Sci. Eng. , vol.17 , pp. 713
    • Liao, P.S.1    Chen, T.S.2    Chung, P.C.3
  • 9
    • 0033133691 scopus 로고    scopus 로고
    • Fuzzy partition of two-dimensional histogram and its application to thresholding
    • H. D. Cheng and Y. Chen, "Fuzzy partition of two-dimensional histogram and its application to thresholding," Pattern Recognit. 32, 825 (1999).
    • (1999) Pattern Recognit. , vol.32 , pp. 825
    • Cheng, H.D.1    Chen, Y.2
  • 10
    • 0024630028 scopus 로고
    • Threshold selection using estimates from truncated normal distribution
    • J. S. Lee and M. C. K. Yang, "Threshold selection using estimates from truncated normal distribution," IEEE Trans. Syst. Man Cybern. 19, 422 (1989).
    • (1989) IEEE Trans. Syst. Man Cybern. , vol.19 , pp. 422
    • Lee, J.S.1    Yang, M.C.K.2
  • 11
    • 33747886893 scopus 로고    scopus 로고
    • Automatic thresholding for defect detection
    • H. F. Ng, "Automatic thresholding for defect detection," Pattern Recognit. Lett. 27, 1644 (2006).
    • (2006) Pattern Recognit. Lett. , vol.27 , pp. 1644
    • Ng, H.F.1
  • 12
    • 0030195559 scopus 로고    scopus 로고
    • Optimal edge detection in two dimensional images
    • R. J. Qian and T. S. Huang, "Optimal edge detection in two dimensional images," IEEE Trans. Image Process. 5, 1215 (1996).
    • (1996) IEEE Trans. Image Process , vol.5 , pp. 1215
    • Qian, R.J.1    Huang, T.S.2
  • 14
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • C. Xu and L. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. Image Process. 7, 359 (1998).
    • (1998) IEEE Trans. Image Process , vol.7 , pp. 359
    • Xu, C.1    Prince, L.2
  • 16
    • 34548599810 scopus 로고    scopus 로고
    • Improved B-spline contour fitting using genetic algorithm for the segmentation of dental computerized tomography image sequences
    • X. Wu, H. Gao, H. Heo, O. Chae, J. Cho, S. Lee, and Y. K. Lee, "Improved B-spline contour fitting using genetic algorithm for the segmentation of dental computerized tomography image sequences," J. Imaging Sci. Technol. 51, 328 (2007).
    • (2007) J. Imaging Sci. Technol. , vol.51 , pp. 328
    • Wu, X.1    Gao, H.2    Heo, H.3    Chae, O.4    Cho, J.5    Lee, S.6    Lee, Y.K.7
  • 17
    • 0030216623 scopus 로고    scopus 로고
    • A survey on evaluation methods for image segmentation
    • Y. J. Zhang, "A survey on evaluation methods for image segmentation," Pattern Recognit. 29, 1335 (1996).
    • (1996) Pattern Recognit. , vol.29 , pp. 1335
    • Zhang, Y.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.