Adaptive normalization algorithm for infrared imaging

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

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

重庆大学软件学院，重庆 400044

通讯作者: 桑军

Abstract

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

SANG Jun,XIANG Hong,HU Hai-bo. Adaptive normalization algorithm for infrared imaging[J]. Computer Engineering and Applications, 2008, 44(16): 246-248.

桑军,向宏,胡海波. 红外图像自适应归一化算法[J]. 计算机工程与应用, 2008, 44(16): 246-248.

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Adaptive normalization algorithm for infrared imaging

红外图像自适应归一化算法

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