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A method of local enhancement based on fuzzy set theory

机译:一种基于模糊集理论的局部增强方法

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Due to the effect of illumination, some image contrasts are often not uniform. Image enhancement becomes an important problem in these images processing. This paper presents a method of local enhancement based on the fuzzy set theory to improve the image contrast. The method includes the following three steps: 1) the image is divided into sectors; 2) a kind of fuzzy enhancement method is implemented on each sector; and 3) the maximum and minimum gray levels are constants within sectors, but different for the various sectors. Finally, we re-divide the image into sectors with more pixels, and repeat step 1 and 2, until the whole image includes only one sector. Experimental result shows that the method of local enhancement based on fuzzy enhancement is better than the conventional fuzzy methods.
机译:由于照明的效果,一些图像对比通常不均匀。图像增强成为这些图像处理中的重要问题。本文介绍了一种基于模糊集理论的局部增强方法,提高图像对比度。该方法包括以下三个步骤:1)图像分为扇区; 2)在每个扇区上实施了一种模糊增强方法; 3)最大和最小灰度水平是扇区内的常量,但对于各个部门的不同。最后,我们将图像重新划分为具有更多像素的扇区,并重复步骤1和2,直到整个图像仅包括一个扇区。实验结果表明,基于模糊增强的局部增强方法优于传统的模糊方法。

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