基于红外摄像仪的接触网载流安全状态检测图像处理

摘要

利用车载红外成像仪能高效便捷的对接触网进行载流安全检测,但由于外界环境和车速的影响导致获取的红外图像存在灰暗模糊的问题.为获取高质量的图像,提出了一种基于小波变换和模糊对比度的图像增强算法,据此提高图像的清晰度和信息量;同时,利用RGB颜色空间对原始图像进行分割,通过图像融合完成对红外图像温度最高区域的位置标定,从而满足了人眼视觉直观感应和计算机的分析要求,为快速准确地判断接触网载流安全状态和发现可能存在的隐患点提供一种有效的手段.%The vehicular infrared imager is an efficient and convenient tool to test current-carrying safety of catenary.However,images obtained may be obscure and gray under the influence of the environment and the speed of the vehicle.To improve the quality of the image,the paper proposes an image enhancement technique based on wavelet transform and fuzzy contrast algorithm,which enhances the clarity of the image and enriches the information conveyed through the image.The original image is also segmented using RGB color space,and the area with the highest temperature of the infrared image is labeled through image fusion,so as to meet the requirement of human visual sensing and computer analysis.This method can serve as an effective means to accurately assess the catenary current-carrying safety status and to examine hidden danger.