Extracting a new fractal and semi-variance attributes for texture images-Reference-Cited by-同舟云学术

Extracting a new fractal and semi-variance attributes for texture images

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THIRD INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2019)
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Author:

Yousif Suhad A.,Abdul-Wahed Hussam Y.,Al-Saidi Nadia M. G.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5136199

Reference10 articles.

1. M. Barnsley, “Fractals Everywhere”, academic press, second edition, pp. 112–130, 1988.

2. Mandelbrot, B. B. 1983. The fractal geometry of nature (Vol. 173, p. 51). New York: WH freeman.

3. An efficient implementation of the gliding box lacunarity algorithm

4. N.M.G Al-Saidi, H.Y Abdul-Wahed, “Classification of remote sensing images via fractal descriptors.” In Advance of Sustainable Engineering and its Application (ICASEA), 2018 International Conference on, pp. 99–104. IEEE, 2018.

5. H.Y. Abdul-Wahed, and N.M.G. Al-Saidi. “Multiple-point variogram features for evolving of fractal image compression technique.” AIP Conference Proceedings. Vol. 2086. No. 1. AIP Publishing, 2019.

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