Method of image fusion based on improved probability theory

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (8): 182-184.

• 图形、图像、模式识别 • Previous Articles Next Articles

Method of image fusion based on improved probability theory

ZHAO Chengdong, WANG Xuhui， YANG Jingyu

School of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-03-11 Published:2012-03-11

一种基于改进的概率图像融合方法

赵澄东，王旭辉，杨静宇

南京理工大学计算机学院，南京 210094

Abstract

Abstract: Image fusion technique is a new research field in recent years. Based on the physical characteristics of images generated by different sensors, it puts forward an improved probability method for image fusion which can efficiently reduce interference of sensor noise in the process of image fusion and provide more abundant, accurate and reliable information in the process, so that the image can be further analyzed and processed.

Key words: probability theory, sensor, image fusion

摘要： 图像融合技术是近几年来研究的一个新领域，针对不同传感器生成图像的物理特性，提出了一种使用改进的概率方法对图像进行融合。该方法能有效地降低传感器噪声在图像融合过程中的干扰程度，最大程度地提供融合过程中更丰富、更精确、更可靠的信息，以便于图像的进一步分析、处理与理解。

关键词: 概率论, 传感器, 图像融合

ZHAO Chengdong, WANG Xuhui， YANG Jingyu. Method of image fusion based on improved probability theory[J]. Computer Engineering and Applications, 2012, 48(8): 182-184.

赵澄东，王旭辉，杨静宇. 一种基于改进的概率图像融合方法[J]. 计算机工程与应用, 2012, 48(8): 182-184.

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Method of image fusion based on improved probability theory

一种基于改进的概率图像融合方法

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