期刊文献+

Turbidity analysis using visible and near-infrared light images 被引量:2

基于可见光和近红外光图像的浊度分析
下载PDF
导出
摘要 The conventional photoelectric detection system requires complex circuitry and spectroscopic systems as well as specialized personnel for its operation.To replace such a system,a method of measuring turbidity using a camera is proposed by combining the imaging characteristics of a digital camera and the high-speed information processing capability of a computer.Two turbidity measurement devices based on visible and near-infrared(NIR)light cameras and a light source driving circuit with constant light intensity were designed.The RGB data in the turbidity images were acquired using a self-developed image processing software and converted to the CIE Lab color space.Based on the relationship between the luminance,chromatic aberration,and turbidity,the turbidity detection models for luminance and chromatic aberration of visible and NIR light devices exhibiting values from 0-1000 NTU,less than 100 NTU,and more than 100 NTU were established.By comparing and analyzing the proposed models,the two measurement models with the best all-around performance were selected and fused to generate new measurement models.The experimental results prove that the correlation between the three models and the commercial turbidity meter measurements exhibite a significance value higher than 0.999.The error of the fusion model is within 1.05%,with a mean square error of 1.14.The visible light device has less error at low turbidity measurements and is less influenced by the color of the image.The NIR light device is more stable and accurate at full range and high turbidity measurements and is therefore more suitable for such measurements.
作者 ZHU Yuanyang ZHAO Wenzhu LIU Sheng GAO Hongwen 朱远洋;赵文竹;刘升;郜洪文(淮北师范大学计算机科学与技术学院,淮北235000;同济大学环境科学与工程学院,上海200092)
出处 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第1期27-35,共9页 测试科学与仪器(英文版)
基金 National Natural Science Foundation of China(No.61671434) Key Projects of Provincial Natural Science Foundation of Anhui Universities(Nos.KJ2019A0952,KJ2017ZD32)。
关键词 image processing water quality turbidity measurement near-infrared image color space conversion 图像处理 水质 浊度测量 近红外图像 色彩空间转换
  • 相关文献

参考文献2

共引文献5

同被引文献9

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部