图像融合在探测混凝土结构内部损伤中的应用

An Application of Image Fusion Technology to Detection of Concrete Interior Damage

图像融合是指综合两个或多个源图像的信息,以获取对同一对象更为精确、更为全面的图像描述。该文简单介绍了几种主要的图像融合方法,对基于多分辨率小波变换融合算法进行了较为全面的阐述,并对两类基于区域的图像融合规则进行改进。通过对埋设在混凝土梁构件内部模拟的缺陷进行实验论证,采用小波变换法对红外图像进行融合,结果表明:对于探测混凝土内部缺陷,采用基于本文所提出的融合规则的小波变换法进行图像融合,融合效果有明显的改善。

The objective of image fusion is to combine information from multiple images of the same scene to acquire more exact and comprehensive description of the image.In this paper,several image fusion methods are briefly discussed. The wavelet transform algorithm based on multi-resolution analysis is expounded in detail.In addition,the two regionbased image fusion rules are proposed.An experiment of detecting the concrete beams interior damage by infrared thermography,is also carried out in the paper, The experimental result shows that the fused image is more efficient in detecting interior damage of the concrete adopted by the wavelet transform algorithm based on the fusion rules proposed by the paper.