摘要
文中以医学图像为例,对噪声大、模糊不清、对比度低的图像进行增强处理。主要工作是通过几种滤除噪声方法对比,选择中值滤波法去除噪声,然而通过直方图均衡化处理以及对图像的目标区的背景区分别做对数运算和指数运算增强对比度,突显目标区。模拟实验结果表明本文的处理方法具有良好的效果。
the blur, noise and low contrast medical image were enhancement processed. The main methods are noise filtering, for example, median filtering, histogram equalization and contrast enhancement processing. To highlight the image contrast, we adopt logarithmic function operation for the background area and exponential operation for the interest area. The simulation experiment results show that the methods have good effect.
出处
《电子设计工程》
2014年第10期57-59,共3页
Electronic Design Engineering
基金
陕西省教育厅项目(2013JK1124)
国家大学生创新训练项目(201210719004)
关键词
医学图像
噪声滤除
直方图均衡化
对比度增强
medical image
noise filtering
histogram equalization
contrast enhancement
