摘要
一般的平滑算法往往因过度平滑使得图像细节特征模糊,针对这一情况,在传统的基于偏微分方程的算法中,加入对大曲率边界点进行线性模板匹配的改进,对比现存的保边界平滑算法,实验结果表明,改进的算法优于其他算法。
Preproeessing of smoothing often brings about blurred image. In this paper,we add linear masks to the minutia preserving smoothing algorithm which based on solving a nonlinear diffusion equation. Compared with other existing methods ,this improved algorithm has better performance preproeessing of noisy images.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第4期148-149,167,共3页
Computer Applications and Software
关键词
保细节平滑
非线性扩散
偏微分方程
线性模板
Minutia preserving smoothing Nonlinear diffusion Partial differential equations Linear masks