基于模糊集的图像增强  

Image enhancement based on fuzzy set

作　　者：史卉萍[1] 耿国华[1] 周明全[2] 董建民[1] 

机构地区：[1]西北大学可视化技术研究所,西安710127 [2]北京师范大学信息科学与技术学院,北京100875

出　　处：《微计算机信息》2008年第24期291-292,254,共3页Control & Automation

摘　　要：经图像信息输入系统获取的源图像中通常都含有各种各样的噪声和畸变,会大大影响图像的质量。因此,在对图像进行分析之前,必须先对图像质量进行改善。通常,使用图像增强的方法对图像进行改善。基于直方图的方法是这一领域中很重要的方法之一。Pal-King算法,是基于模糊集对于图像的增强算法。本文首先改进了Pal-King算法,随后将改进的Pal-King算法与直方图增强图像算法进行比较。用改进的Pal-King算法处理的图像提供更多细节,并且有很好的视觉效果。The distortion and noise of the original images generated by Image Inputting System will absolutely lead to low quality of final result. Therefore these drawbacks should be largely removed before further processing by applying some enhancement algorithms. Aimed to enhance the image, there are many ways to implement it . The image enhancement based on histogram is a very important face in the field, Pal-King algorithm , which is based on fuzzy sets to enhance the image. In my article, the Pal-King algorithm is improved firstly, and then the histogram enhancement method and an improved Pal-King fuzzy enhancement method are compared, The result provides more details, enhances image contrast, has good visual effect.

关 键 词：图像增强 模糊集 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]