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弱目标箱粒子标签多伯努利多目标检测与跟踪算法 被引量:5
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作者 蔡如华 杨标 +2 位作者 吴孙勇 李瞳 孙希延 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2019年第2期234-244,253,共12页
针对红外弱目标跟踪问题,提出箱粒子标签多伯努利多目标检测与跟踪(Box Particle Labeled Multi-Bernoulli Detection And Tracking,BOX-LMB-DT)算法,该算法首先通过使用均值滤波对获得的灰度图像进行降噪处理;其次,通过将所有像素处依... 针对红外弱目标跟踪问题,提出箱粒子标签多伯努利多目标检测与跟踪(Box Particle Labeled Multi-Bernoulli Detection And Tracking,BOX-LMB-DT)算法,该算法首先通过使用均值滤波对获得的灰度图像进行降噪处理;其次,通过将所有像素处依强度大小进行排序,选出强度较大的区域作为当前时刻的区间量测;最后利用箱粒子标签多伯努利滤波(Box-Labeled Multi-Bernoulli Filter,Box-LMB)器对目标进行跟踪.仿真结果表明,所提箱粒子标签多伯努利多目标检测与跟踪算法能够对多目标的航迹和状态进行稳定有效的跟踪,且在相同条件下,相较于区间量测下的LMB粒子滤波,达到相同的跟踪性能时BOX-LMB滤波运算效率提升了22. 59%. 展开更多
关键词 多目标跟踪 红外图像量测 箱粒子滤波 标签多伯努利滤波 均值滤波
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Turbidity analysis using visible and near-infrared light images 被引量:2
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作者 ZHU Yuanyang ZHAO Wenzhu +1 位作者 LIU Sheng GAO Hongwen 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第1期27-35,共9页
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 ... 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. 展开更多
关键词 image processing water quality turbidity measurement near-infrared image color space conversion
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