Histogram Equalization Based on Rough Set

Peng Yan; Wu Zhan; Ou Yang Min-Zi

doi:10.4028/www.scientific.net/AMM.182-183.1844

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Histogram Equalization Based on Rough Set

Histogram Equalization Based on Rough Set

Abstract:

In digital image processing, classical histogram equalization produce the loss of image information the caused by gray level of the output image may be too much merged. This paper mainly based on the concepts of the set approximate, classification approximate measurement and importance in the rough set theory, divided the appropriate boundary of the set, proposed an improved histogram equalization method, thus effectively solved the problem, gave the experimental simulation confirmation.

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Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1844-1848

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1844

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Online since:

June 2012

Authors:

Peng Yan, Wu Zhan, Ou Yang Min-Zi

Keywords:

Approximation Measurement, Cumulative Distribution Function, Grayscale, Histogram Equalization, Importance, Rough Set Theory (RST)

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