摘要
本文结合小波变换和模糊逻辑提出一种新的图像增强方法,利用改进的自适应模糊权重中值滤波滤除噪声,应用模糊增强算子对图像增强。经试验仿真,该方法在去噪的的过程中保留了大部分细节及边缘信息,同时改善了视觉效果。
A novel adaptive fuzzy enhancement algorithm based on wavelet transform is proposed to enhance image in this paper. Firstly, the new adaptive fuzzy weight media filter（NAFWMF） is applied in removing noises ,then, image is enhanced by utilizing the fuzzy enhancement operator. Simulation result indicates that this method has a better result in denoising ,maintaining image detail and edge as well as to improve visual effect , compared to other traditional ways.
出处
《微计算机信息》
2009年第21期246-248,共3页
Control & Automation
基金
国家863项目
申请人:王耀南
项目名称:大型高速医药自动化生产线上的产品检测包装智能机器人
基金颁发部门:中华人民共和国科学技术部(2007AA04Z244)
关键词
图像增强
自适应
模糊增强算子
小波变换
Image enhancement
Adaptive
Fuzzy enhancement operator
Wavelet transform
