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Приборы и системы. Управление, контроль, диагностика. – 2008. – №10. –

С. 38–44.

47. Zhang Y. J. A survey on evaluation methods for image

segmentation / Y.J. Zhang. // Pattern Recognition. – 1996. – №29. – С. 1335–
1346.

48. Sankur B. A survey over image thresholding techniques and
quantitative performance evaluation / B. Sankur, M. Sezgin. // Journal of

Electronic Imaging. – 2004. – №13. – P. 146–165.

49. Canny J. A computational approach to edge detection / J. Canny. //

IEEE Transactions on PAMI. – 1986. – №8. – P. 679– 698.

50. Elder J. Image editing in the contour domain / J. Elder, R.

Goldberg. // IEEE Transactions on PAMI. – 2001. – №3. – P. 291–296.

51. Arifin A. Z. Image segmentation by histogram thresholding using

hierarchical cluster analysis / A. Z. Arifin, A. Asano. // Pattern Recognition

Letters. – 2006. – №27. – P. 1515–1521.

52. Multilevel thresholding for image segmentation through a fast

statistical recursive algorithm / S.Arora, J. Acharya, A. Verma, P. K. Panigrahi.

// Pattern Recognition Letters. – 2008. – №29. – P. 119–125.

53. Otsu N. A threshold selection using grey level histograms / N. Otsu.

// IEEE Trans. Systems Man Cybernet.. – 1979. – №9. – P. 62–69.

54. Jain, A. K. Data clustering: a review / A. K. Jain, M. N. Murty //

ACM Computing Surveys. – 1999. – Vol. 31. – № 3. – P. 264 – 323.

55. Brecheisen, S. Density-based data analysis and similarity search / S.

Brecheisen, H.-P. Kriegel, P. Kroger et al. // Multimedia Data Mining and

Knowledge Discovery. – Springer, 2006. – P. 94 – 115.

56. Ankerst, M. OPTICS: ordering points to identify the clustering

structure / M. Ankerst, M. M. Breunig, H.-P. Kriegel, J. Sander // Proc. 1999

ACM SIGMOD Intern. Conf. on Management of data. – 1999. – P. 49 – 60.