摘要
针对大亚湾中微子实验中对掺钆液体闪烁体位置进行标定的需求,采用红外CCD摄像头对液位进行非接触无损检测,然后通过图像采集、图像预处理、图像分割、液位定位和液位测量等图像处理技术,实现对掺钆液体闪烁体位置的检测。文章在介绍整个红外CCD图像处理系统的同时,重点介绍了分段线性灰度拉伸算法、数字形态学等方法。实验结果表明,所提方法提高了被测液体位置的精确度,有效解决了当液闪存于底部位置以及金属环位置时无法准确测量液位的问题,并且满足误差在正负2mm范围的实际要求。
The specific location of gadolinium doped liquid scintillator is needed to be calibrated in the Daya Bay neutrino experiment,the level of the image obtained by non-contact collection of infrared CCD camera,and the gadolinium doped liquid scintillator level can be obtained by image pre processing,image segmentation,level positioning and liquid level measurement,etc.In this paper,not only introduced is the whole infrared CCD image processing system,but also the piecewise linear gray stretch algorithm and digital morphology.Experimental results show that the presented method improves the accuracy of the measured liquid position.The liquid level can be accurately measured when the liquid flash is in the bottom position or metal ring position,and measurement error is in the range of 2mm.
出处
《半导体光电》
CAS
北大核心
2016年第2期294-297,共4页
Semiconductor Optoelectronics
基金
国家自然科学重大基金项目(10890095)
国家"973"计划项目(2013CB834305)
广东省自然科学基金项目(S2012010010306)
关键词
大亚湾中微子实验
红外CCD
分段线性灰度拉伸
形态学骨架
连通区域标记
Daya Bay neutrino experiment
infrared CCD
piecewise linear gray level stretch
morphological skeleton
connected component labeling
