Oasis Image that Processed by Some CNN

Article Preview

Abstract:

In this paper, firstly, we introduce the way of Cellular Neural Network (CNN). Secondly, we use different way to process the image by the CNN. Thirdly, we observe these processed images. We can find some regulars about the oasis. We get the size of the oasis. Then, we can find the environment is good or poor. If the size of oasis is small, we must enhance protecting about the environment. Then, we can research a prediction method to some images.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

2785-2788

Citation:

Online since:

September 2013

Keywords:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Li, and P. Fan. Investigation on early identification and warning of hail clouds. Journal of Nanjing Institute of Meteorology. Vol. 30 No. 1 Feb. 2007. 114-119.

Google Scholar

[2] Y. Zhou, and Y. Zhu. Identification of a hail cloud clustering method similar to the evolution of research. Journal of Anhui Agri Sci. 2007, 35 (30) : 9637一9642, 9750.

Google Scholar

[3] Assist. Prof. Dr. Hanan A.R. AKKAR, Optimizing Opto-Electronic Cellular Neural Networks Using Bees Swarm Intelligent, IJIPM: International Journal of Information Processing and Management, Vol. 1, No. 1, p.114 ~ 125, (2010).

DOI: 10.4156/ijipm.vol1.issue1.14

Google Scholar

[4] T. Roska, and J. Vandewalle, Cellular Neural Networks, Wiley, New York, (1994).

Google Scholar

[5] L. O. Chua, CNN: a version of complexity, Int. J. Bifurcation and Chaos, Vol. 7, pp.2219-2425, (1997).

Google Scholar

[6] L. O. Chua and T. Roska, Cellular Neural Networks and Visual Computing, Cambridge: Cambridge University Press, (2000).

Google Scholar

[7] G. li and L. Min, and H. Zang, Color edge detections based on Cellular Neural Network, International Journal of Bifurcation and Chaos, Vol. 18, No. 4 (2008) 1231–1242.

DOI: 10.1142/s0218127408020963

Google Scholar