TEXTURE SEGMENTATION OF IMAGES OF WEAR ZONES OF CUTTING TOOLS BY AMPLITUDE RECTIFYING METHOD

Authors

  • Marina Polyakova
  • Victor Krylov
  • Natalia Volkova

DOI:

https://doi.org/10.47839/ijc.8.3.681

Keywords:

Image texture segmentation, spectral and statistical texture, model of image of cutting tool wear zones.

Abstract

The amplitude rectifying method of the texture segmentation of the image of wear zone of cutting tools with tracks of the fragile destruction is developed. The mathematical model of the image of wear zone of cutting tools with tracks of the fragile destruction as a spectral-statistical model of the texture image with the amplitude modulation of intensity is proposed.

References

D. Dunn, W.E. Higgins, J. Wakeley. Texture segmentation using 2D Gabor elementary function. IEEE Trans. on PAMI 16(2) (1994). p. 130-149.

B.B. Chandhuri, N. Sarkar. Texture segmentation using fractal dimension. IEEE Trans. on PAMI 17(1) (1995). p. 72-77.

S. G. Antoschuk, O. Yu. Babilunga, A. G. Derevyanchenko, “Edge detection of images at control of cuttings instruments”, Announcer ZHDTU, № 4(39), pp.3-8, 2006.

V. N. Krylov, M. V. Polyakova, N. P. Volkova, “Method of texture segmentation of images with the rectifying use” // Announcer KNTU, pp. 226-270, 2006.

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Published

2014-08-01

How to Cite

Polyakova, M., Krylov, V., & Volkova, N. (2014). TEXTURE SEGMENTATION OF IMAGES OF WEAR ZONES OF CUTTING TOOLS BY AMPLITUDE RECTIFYING METHOD. International Journal of Computing, 8(3), 22-31. https://doi.org/10.47839/ijc.8.3.681

Issue

2009, Volume 8, Issue 3

Section

Articles

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