摘要
提出了一种新颖的、基于灰度统计的简单高效红外图像归一化算法,其最大特点是能自动适应像素灰度值存在若干聚集区间的情形,且便于现场可编程门阵列(Field Programmable Gate Array,FPGA)的实时实现。
A novel intensity-based normalization technique for infrared imaging is proposed. The main advantages of the tech- nique are：it can adapt to multiple clusters of intensities automatically, and it is easy to be implemented by Field Programmable Gate Array（ FPGA ）.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第16期246-248,共3页
Computer Engineering and Applications
基金
重庆市科委自然科学基金计划资助项目(Natural Science Foundation Project of Chongqing CSTS under Grant No.2006BB2012)
关键词
红外成像
归一化
实时实现
infrared imaging
normalization
real-time implementation
