Image Enhancement Based on the Minimum Entropy and Rough Sets

Li Yuan Tong; Hai Tao Guo; Rui Lan Zhang

doi:10.4028/www.scientific.net/AMM.273.810

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 273Image Enhancement Based on the Minimum Entropy and...

Image Enhancement Based on the Minimum Entropy and Rough Sets

Abstract:

The method using the minimum entropy and rough set theory is presented. In the method, the threshold of the gray values of an image is calculated using the minimum value of entropy and an image is divided into some sub-images using the rough set theory. The sub-images are enhanced using different sorts of transforms of gray scale. As an application, the image of high-voltage transmission lines is processed with the presented method. As a contrast, the image is also processed with transformation of histogram equalization. The experimental results show the presented method is more feasible. One of the major characteristics in the presented method is that the threshold is calculated using the minimum value of entropy.

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Periodical:

Applied Mechanics and Materials (Volume 273)

Pages:

810-814

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.273.810

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Online since:

January 2013

Authors:

Li Yuan Tong, Hai Tao Guo, Rui Lan Zhang

Keywords:

Entropy, Histogram Equalization, Image Enhancement, Rough Set Theory (RST)

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References

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DOI: 10.1007/978-1-4471-3238-7_46

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