摘要
为优化交通监控图像的视觉特征,以适应不同场景的应用需求,提出基于机器视觉技术的交通监控图像细节信息增强处理方法。借助机器视觉技术中的CCD工业相机和CCD摄像机采集交通监控图像。运用图像滤波方法去除图像噪声,并初步提取边缘轮廓。通过直方图均衡化处理滤波后的图像,提升其质量与亮度,随后采用双层图像并行方法对均衡后的图像进行锐化,以突出图像边缘与细节信息,显著增强视觉效果。实验结果表明,该方法能有效去除交通监控图像噪声,增强视觉效果。经增强处理后的交通监控图像质量指标大于0.88,模糊系数均小于0.020,可清晰展现图像内部细节纹理情况。
In order to improve the visual features of traffic monitoring images to meet the requirements of different scenarios,a method for enhancing the detail information of traffic monitoring images based on machine vision technology is proposed.Traffic monitoring images are collected by CCD industrial cameras and CCD cameras in machine vision technology.Image filtering method is used to remove the noise in the images and preliminarily extract the edge contours.The filtered images are processed by histogram equalization to improve their quality and brightness.Then,a double⁃layer image parallel method is adopted to sharpen the equalized images,highlighting the edge and detail information in the traffic monitoring images and significantly enhancing the visual effect.Experiments show that this method can effectively remove the noise in traffic monitoring images and enhance the visual effect.The quality index of the enhanced traffic monitoring images is greater than 0.88,and the blur coefficient is less than 0.020,which can clearly show the internal detail texture of the images.
作者
施智华
SHI Zhihua(Yunnan Provincial Comprehensive Transportation Development Center,Kunming 650031,China)
出处
《电子设计工程》
2026年第3期181-185,共5页
Electronic Design Engineering
关键词
交通监控图像
机器视觉技术
图像滤波
直方图均衡化
细节信息增强
图像锐化
traffic monitoring images
machine vision technology
image filtering
histogram equalization
enhancement of detailed information
image sharpening
