Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (16): 246-248.

• 工程与应用 • Previous Articles    

Adaptive normalization algorithm for infrared imaging

SANG Jun,XIANG Hong,HU Hai-bo   

  1. School of Software Engineering,Chongqing University,Chongqing 400044,China
  • Received:2007-02-26 Revised:2008-03-21 Online:2008-06-01 Published:2008-06-01
  • Contact: SANG Jun

红外图像自适应归一化算法

桑 军,向 宏,胡海波   

  1. 重庆大学 软件学院,重庆 400044
  • 通讯作者: 桑 军

Abstract: A novel intensity-based normalization technique for infrared imaging is proposed. The main advantages of the technique are:it can adapt to multiple clusters of intensities automatically, and it is easy to be implemented by Field Programmable Gate Array(FPGA).

Key words: infrared imaging, normalization, real-time implementation

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。

关键词: 红外成像, 归一化, 实时实现