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作 者:杜乾坤 陈敏 范佳程 赵明辉 梁庆华[1] DU Qiankun;CHEN Min;FAN Jiacheng;ZHAO Minghui;LIANG Qinghua(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;China Coal Science and Industry Group Shanghai Co.,Ltd.,Shanghai 201100,China)
机构地区:[1]上海交通大学机械与动力工程学院,上海200240 [2]中煤科工集团上海有限公司,上海201100
出 处:《机械设计与研究》2022年第6期143-147,共5页Machine Design And Research
基 金:中煤科工集团上海有限公司项目(2019-TD-2-CXY007)。
摘 要:针对暗光、无光环境下光线稀疏,而设备自带光源的光强度不足,使得相机采集到的图像纹理特征少的问题,提出一种点光源下图像纹理增强的方法。该方法立足于点光源下物体的成像原理,利用空间物体三维重建技术,求取空间物体在点光源处发出均匀光照下的图像,解决了点光源下距离光源位置较远处的物体照度较低的问题。通过实验对比分析,结果表明:所提算法对点光源下低照度区域图像纹理增强效果较好,恢复后的图片亮度分布更加均匀,整体视觉上更接近于均匀光照下的图片。Aiming at the problem that the light is sparse in low light and no light environments,and the light intensity of the built-in light source of the device is insufficient,which makes the image texture characteristics of the image collected by the camera less clear,a method of image texture enhancement under point light source is proposed.This method is based on the imaging principle of the object under the point light source,and uses the three-dimensional reconstruction technology of the space object to obtain the image of the space object under uniform illumination at the point light source,and solves the problem of the low illuminance of the object under the point light source.Through experimental comparison and analysis,the results show that the proposed algorithm has a better effect on image texture enhancement in low-illuminance areas under point light sources,and the restored image brightness distribution is more uniform,and the overall vision is closer to the image under uniform lighting.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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