摘要
为改进图像增强算法,使之更适合医学领域图片的处理,采用了粗糙集的上逼近和下逼近思想,将图像分为物体区和背景区,使用不同的函数进行增强,进而提出了一种改进的基于粗糙集的增强算法,并首次应用于医学图像处理领域。实验结果显示改进的基于粗糙集的增强效果优于直方图均衡化方法。
With an aim to improve the image enhancement algorithm and make it suitable for medical field, the upper and lower approximation ideas of rough set theory are used, and the image is divided into object-image and background-image, which are enhanced by different functions. Then, an improved image enhancement algorithm based on rough set is proposed and used in medical image field. Experimental resuits show that the enhanced effect of the proposed algorithm is obvious and better than that of the histogram equalization method.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第9期39-40,63,共3页
Computer Applications and Software
基金
国家自然科学基金项目(60673100)
关键词
粗糙集
上逼近
下逼近
直方图均衡化
Rough set Upper approximation Lower approximation Histogram equalization
