桥梁钢构件损伤的红外图像识别研究

本研究针对热波图像在采集过程中会存在的热场不均,设备自身红外热波辐射损失消耗严重,以及实验构件的内部材质分布不均等诸多不利因素的影响,导致后期热波图像序列存在非均匀性、背景噪声较大、目标部位对比度低、损伤或缺陷部位显示效果差等问题提出了一套完整的红外图像处理的改进算法,弥补现有方法不足,在热波检测原理的基础上利用MATLAB处理软件对红外热波图像序列进行增强、分割及重构。从关键性技术环节展开深入和系统的研究,提高红外热波图像序列处理的质量及速度,增强热波图像算法的实用性和稳定性。

Automated Registration for Infrared Image Based on Wavelet Analysis

To develop a quick, accurate and antinoise automated image registration technique for infrared images, the wavelet analysis technique was used to extract the feature points in two images followed by the compensation for input image with angle difference between them. A hi erarchical feature matching algorithm was adopted to get the final transform parameters between the two images. The simulation results for two infrared images show that the method can effectively, quickly and accurately register images and be antinoise to some extent.