首页|基于最佳缝合线的电力设备红外图像拼接算法

基于最佳缝合线的电力设备红外图像拼接算法

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针对变电站电力设备红外图像普遍模糊且信噪比低,拼接过程中易出现明显拼接痕迹或重影的问题,提出一种基于ROI和改进最佳缝合线的变电站设备红外图像拼接方法.首先,划分待拼接两图相邻的50%区域作为ROI,提高特征点提取以及匹配的精度和效率;然后,通过引入均值化余弦相似度改进最佳缝合线的能量差异函数,使最佳缝合线能够精准穿越重叠区域能量差异最小的位置.最后,进行实验验证,分别对比 Autostitch、ICE和 Autopano Giga三款图像拼接软件和本文的基于ROI和改进最佳缝合线图像拼接算法的图像拼接效果,结果表明,所提方法有效提高图像拼接整体过程的效率,有效减少拼接痕迹和重影现象,可实现较高质量的电力设备红外图像拼接.
Infrared image stitching algorithm of power equipment based on optimal seam-line
Aiming at the problem that infrared images of substation power equipment are generally blurred and low signal-to-noise ratio,and obvious stitching marks or glistening are easy to appear in the stitching process,an infrared image stitching method of substation equipment based on ROI and improved optimal seam-line was proposed.Firstly,the 50%adjacent area of the two images to be stitching was divided as the ROI to improve the accuracy and efficiency of feature point extraction and matching.Then,the energy difference function of the best suture line was improved by introducing the mean-cosine similarity,so that the best seam-line could accurately traverse the position with the smallest energy difference in the overlapping area.Finally,the experimental verification is carried out to compare the Image stitching effects of three image stitching software Autostitch、ICE and Autopano Giga with the image stitching algorithm based on ROI and improved optimal seam-line in this paper.The results show that the proposed method can effectively improve the efficiency of the overall process of image stitching,effectively reduce stitching traces and glowy phenomena,and achieve high quality infrared image stitching of power equipment.

infrared image stitchingROIoptimal seam-lineenergy difference functionaveraging cosine similarity

吴润国、刘晓东、费继友、赵兴、姚梦涛

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大连交通大学詹天佑学院(中车学院)大连 116000

红外图像拼接 ROI 最佳缝合线 能量差异函数 均值化余弦相似度

2024

电子测量技术
北京无线电技术研究所

电子测量技术

CSTPCD北大核心
影响因子:1.166
ISSN:1002-7300
年,卷(期):2024.47(23)