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基于红外阵列传感器的室内光照度梯度均衡化处理

Indoor illumination gradient equalization process based on infrared array sensor
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摘要 室内测量的物体往往是不规则的,光照度梯度前景背景分离困难,导致均衡化处理性能差,提出基于红外阵列传感器的室内光照度梯度均衡化处理方法。利用高斯平滑滤波分离图像前景和背景,通过中值滤波拟合图像背景,完成图像的预处理;构建目标梯度场,根据梯度场分别光照补偿前景和背景,求解微偏分方程,获取并拼接图像中各个经过补偿后的元素,实现室内光照度梯度均衡化处理。实验结果表明,像素值无论在何种灰度等级下其像素值均大于0,标准差、平均梯度以及信息熵最高分别达到93、9和11,均衡化处理性能好。 The objects measured indoors are often irregular,and it is difficult to separate the foreground and background of the illumination gradient,which leads to poor equalization performance.This paper proposes an indoor illumination gradient equalization method based on infrared array sensors.A gaussian smoothing filter is used to separate image foreground and background,and a median filter is used to fit the image background to complete the image preprocessing.According to the gradient field,the foreground and background are compensated respectively,and the micro partial equation is solved.The compensated elements in the image are obtained and stitched to realize the indoor illumination gradient equalization.The experimental results show that the pixel value is greater than 0 regardless at any gray level,and the standard deviation,average gradient,and information entropy are up to 93,9 and 11 respectively,and the equalization processing performance is good.
作者 杜状 郝丽丹 王媛 DU Zhuang;HAO Lidan;WANG Yuan(College of Humanities&Information Changchun University of Technology,Changchun 130000,China)
出处 《激光杂志》 CAS 北大核心 2022年第7期39-43,共5页 Laser Journal
基金 吉林省科技厅一般科技战略与规划项目(No.20200101065FG) 吉林省教育厅“十三五”社会科学项目(No.JJKH20181373SK)。
关键词 红外传感器 梯度场 拟合 预处理 均衡化 infrared sensor gradient field fitting preprocessing equalization
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