Histogram Equalization Based on Rough Set
Peng Yan, Zhan Wu, Ou Yang Min-Zi · Applied Mechanics and Materials · 2012
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.