Research on Infrared Image Fusion Technology Based on Road Crack Detection

Guangjun Li, Lin Nan, Lulu Zhang, Manman Feng, Yan Liu, Xu Meng
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Abstract

This study aimed to propose road crack detection method based on infrared image fusion technology. By analyzing the characteristics of road crack images, this method uses a variety of infrared image fusion methods to process different types of images. The use of this method allows the detection of road cracks, which not only reduces the professional requirements for inspectors, but also improves the accuracy of road crack detection. Based on infrared image processing technology, on the basis of in-depth analysis of infrared image features, a road crack detection method is proposed, which can accurately identify the road crack location, direction, length, and other characteristic information. Experiments showed that this method has a good effect, and can meet the requirement of road crack detection.
基于道路裂纹检测的红外图像融合技术研究
本研究旨在提出基于红外图像融合技术的道路裂缝检测方法。该方法通过分析道路裂缝图像的特点,采用多种红外图像融合方法对不同类型的图像进行处理。使用这种方法可以检测到道路裂缝,不仅降低了对检测人员的专业要求,而且提高了道路裂缝检测的准确性。基于红外图像处理技术,在深入分析红外图像特征的基础上,提出了一种道路裂缝检测方法,能够准确识别道路裂缝的位置、方向、长度等特征信息。实验表明,该方法具有良好的效果,能够满足道路裂缝检测的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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