In order to study the possibility of improving the timing performance of the time of flight （TOF） systems, which are made of plastic scintillator counters, and read out by photomultiplier tubes （PMT） with mesh dyn...In order to study the possibility of improving the timing performance of the time of flight （TOF） systems, which are made of plastic scintillator counters, and read out by photomultiplier tubes （PMT） with mesh dynodes and conventional electronics, we have conducted a study using faster PMTs and ultra fast waveform digitizers to read out the plastic scintillators. Different waveform analysis methods are used to calculate the time resolution of such a system. Results are compared with the conventional discriminating method based on a threshold and pulse height. Our tests and analysis show that significant timing performance improvements can be achieved by using this new system.展开更多
目前,ToF(Time of Flight)三维成像技术在人脸检测、3D目标识别、三维重建等视觉任务领域具有广阔的应用前景。然而,用ToF相机所获得的深度信息往往存在与像素、温度、深度畸变、多径干扰以及背景光相关的噪声干扰。现有的ToF优化算法...目前,ToF(Time of Flight)三维成像技术在人脸检测、3D目标识别、三维重建等视觉任务领域具有广阔的应用前景。然而,用ToF相机所获得的深度信息往往存在与像素、温度、深度畸变、多径干扰以及背景光相关的噪声干扰。现有的ToF优化算法耗时较大且很难保留目标的细节信息,这些问题严重影响了ToF相机的实际应用。针对以上问题,本文提出一种实时的基于振幅图的ToF深度图优化方法。首先通过ToF接收端采集的原始数据生成带有噪声的振幅图像。针对振幅图中的噪声,选用快速高效的双边网格滤波对振幅图进行去噪。然后,利用优化后的振幅图生成掩码以分割出深度图中前景和背景区域。同时,对深度图中的噪声以及误差像素用滤波的方式优化,最后将优化后的深度图和掩码融合生成最终的深度图。实验结果表明,本文所提算法可以实时有效地滤除深度图噪声,去除背景噪声的干扰,同时能很好地保留深度图中目标对象的细节信息。有助于ToF相机拥有更广泛的应用场景。展开更多
To increase spatial resolution and signal-to-noise ratio in PET imaging,we present in this paper the design and performance evaluation of a PET detector module combining both depth-of-interaction(DOI) and time-offligh...To increase spatial resolution and signal-to-noise ratio in PET imaging,we present in this paper the design and performance evaluation of a PET detector module combining both depth-of-interaction(DOI) and time-offlight(TOF) capabilities.The detector module consists of a staggered dual-layer LYSO block with2 mm × 2 mm × 7 mm crystals.MR-compatible SiPM sensors(MicroFJ-30035-TSV,SensL) are assembled into an 8× 8 array.SiPM signals from both fast and slow outputs are read out by a 128-channel ASIC chip.To test its performance,a flood histogram is acquired with a ^(22)Na point source on top of the detector,and the energy resolution and the coincidence resolving time(CRT) value for each individual crystal are measured.The flood histogram shows excellent crystal separation in both layers.The average energy resolution at 511 keV is 14.0 and 12.7%at the bottom and top layers,respectively.The average CRT of a single crystal is 635 and 565 ps at the bottom and top layers,respectively.In conclusion,the compact DOI-TOF PET detector module is of excellent crystal identification capability,good energy resolution and reasonable time resolution and has promising application prospective in clinical TOF PET,PET/MRI,and brain PET systems.展开更多
针对现有投影仪在梯形校正以及对焦技术中,同时实现对焦以及梯形校正要使用双目摄像头或其他传感器多次成像计算,投影仪开机调整时间长,使用复杂提升,易用性降低等问题。现提出一种基于ToF(Time of Flight)+单目摄像头自动实现对焦以及...针对现有投影仪在梯形校正以及对焦技术中,同时实现对焦以及梯形校正要使用双目摄像头或其他传感器多次成像计算,投影仪开机调整时间长,使用复杂提升,易用性降低等问题。现提出一种基于ToF(Time of Flight)+单目摄像头自动实现对焦以及梯形矫正的方法。通过引入ToF测距引导步进马达实现快速对焦,通过几何光学建模,辅助计算投影面的真实形变投影图像实现图像校正。实验结果表明,该方法能以低廉的硬件成本,简单的计算方法快速完成投影仪系统的开机自适应调整。展开更多
为提高植物三维重建的精度,更好地实现植物数字化研究,提出了基于TOF(time of flight)深度传感的植物三维点云数据获取与去噪方法。首先通过TOF深度传感来获取植物点云数据,采用直通滤波器对点云数据进行预处理,减少背景噪声;其次采用...为提高植物三维重建的精度,更好地实现植物数字化研究,提出了基于TOF(time of flight)深度传感的植物三维点云数据获取与去噪方法。首先通过TOF深度传感来获取植物点云数据,采用直通滤波器对点云数据进行预处理,减少背景噪声;其次采用改进密度分析的离群点去噪算法,该算法通过结合邻近点平均距离和邻域点数数量2个特征参数,对点云数据中的离群点噪声进行检测和去除;最后采用双边滤波算法对点云内部的小尺寸噪声进行检测和去除。以番茄植株进行相关试验,试验结果表明:与传统双边滤波算法比较,该文算法最大误差降低了11.2%,平均误差降低了23.2%;与拉普拉斯滤波算法比较,最大误差降低了20.6%,平均误差降低了39.2%,表明该文提出的算法在保持点云特征的情况下,能简单高效地去除植物三维点云数据中的不同尺度噪声。展开更多
分析了SDS-TWR测距算法的定位原理,提出了基于TOF(time of flight,TOF)技术、采用SDSTWR(symmetrical double-sided two way ranging,SDSTWR)测距算法的煤矿巷道精确定位系统方案。测试结果表明,该系统的定位精度95%,达到6m以内信号有...分析了SDS-TWR测距算法的定位原理,提出了基于TOF(time of flight,TOF)技术、采用SDSTWR(symmetrical double-sided two way ranging,SDSTWR)测距算法的煤矿巷道精确定位系统方案。测试结果表明,该系统的定位精度95%,达到6m以内信号有效覆盖范围半径为500m,功耗满足矿用设计要求,验证了方案的可行性。展开更多
基金Supported by National Natural Science Foundation of China(10979003)Main Direction Program of Knowledge Innovation Project of Chinese Academy of Sciences
文摘In order to study the possibility of improving the timing performance of the time of flight （TOF） systems, which are made of plastic scintillator counters, and read out by photomultiplier tubes （PMT） with mesh dynodes and conventional electronics, we have conducted a study using faster PMTs and ultra fast waveform digitizers to read out the plastic scintillators. Different waveform analysis methods are used to calculate the time resolution of such a system. Results are compared with the conventional discriminating method based on a threshold and pulse height. Our tests and analysis show that significant timing performance improvements can be achieved by using this new system.
文摘目前,ToF(Time of Flight)三维成像技术在人脸检测、3D目标识别、三维重建等视觉任务领域具有广阔的应用前景。然而,用ToF相机所获得的深度信息往往存在与像素、温度、深度畸变、多径干扰以及背景光相关的噪声干扰。现有的ToF优化算法耗时较大且很难保留目标的细节信息,这些问题严重影响了ToF相机的实际应用。针对以上问题,本文提出一种实时的基于振幅图的ToF深度图优化方法。首先通过ToF接收端采集的原始数据生成带有噪声的振幅图像。针对振幅图中的噪声,选用快速高效的双边网格滤波对振幅图进行去噪。然后,利用优化后的振幅图生成掩码以分割出深度图中前景和背景区域。同时,对深度图中的噪声以及误差像素用滤波的方式优化,最后将优化后的深度图和掩码融合生成最终的深度图。实验结果表明,本文所提算法可以实时有效地滤除深度图噪声,去除背景噪声的干扰,同时能很好地保留深度图中目标对象的细节信息。有助于ToF相机拥有更广泛的应用场景。
基金supported in part by Fundamental Research Funds for the Central Universities(No.FRF-TP-15-114A1)National Natural Science Foundation of China(Nos.11375096,11505300)Tsinghua University Initiative Scientific Research Program(No.20131089289)
文摘To increase spatial resolution and signal-to-noise ratio in PET imaging,we present in this paper the design and performance evaluation of a PET detector module combining both depth-of-interaction(DOI) and time-offlight(TOF) capabilities.The detector module consists of a staggered dual-layer LYSO block with2 mm × 2 mm × 7 mm crystals.MR-compatible SiPM sensors(MicroFJ-30035-TSV,SensL) are assembled into an 8× 8 array.SiPM signals from both fast and slow outputs are read out by a 128-channel ASIC chip.To test its performance,a flood histogram is acquired with a ^(22)Na point source on top of the detector,and the energy resolution and the coincidence resolving time(CRT) value for each individual crystal are measured.The flood histogram shows excellent crystal separation in both layers.The average energy resolution at 511 keV is 14.0 and 12.7%at the bottom and top layers,respectively.The average CRT of a single crystal is 635 and 565 ps at the bottom and top layers,respectively.In conclusion,the compact DOI-TOF PET detector module is of excellent crystal identification capability,good energy resolution and reasonable time resolution and has promising application prospective in clinical TOF PET,PET/MRI,and brain PET systems.
文摘针对现有投影仪在梯形校正以及对焦技术中,同时实现对焦以及梯形校正要使用双目摄像头或其他传感器多次成像计算,投影仪开机调整时间长,使用复杂提升,易用性降低等问题。现提出一种基于ToF(Time of Flight)+单目摄像头自动实现对焦以及梯形矫正的方法。通过引入ToF测距引导步进马达实现快速对焦,通过几何光学建模,辅助计算投影面的真实形变投影图像实现图像校正。实验结果表明,该方法能以低廉的硬件成本,简单的计算方法快速完成投影仪系统的开机自适应调整。
文摘为提高植物三维重建的精度,更好地实现植物数字化研究,提出了基于TOF(time of flight)深度传感的植物三维点云数据获取与去噪方法。首先通过TOF深度传感来获取植物点云数据,采用直通滤波器对点云数据进行预处理,减少背景噪声;其次采用改进密度分析的离群点去噪算法,该算法通过结合邻近点平均距离和邻域点数数量2个特征参数,对点云数据中的离群点噪声进行检测和去除;最后采用双边滤波算法对点云内部的小尺寸噪声进行检测和去除。以番茄植株进行相关试验,试验结果表明:与传统双边滤波算法比较,该文算法最大误差降低了11.2%,平均误差降低了23.2%;与拉普拉斯滤波算法比较,最大误差降低了20.6%,平均误差降低了39.2%,表明该文提出的算法在保持点云特征的情况下,能简单高效地去除植物三维点云数据中的不同尺度噪声。
文摘分析了SDS-TWR测距算法的定位原理,提出了基于TOF(time of flight,TOF)技术、采用SDSTWR(symmetrical double-sided two way ranging,SDSTWR)测距算法的煤矿巷道精确定位系统方案。测试结果表明,该系统的定位精度95%,达到6m以内信号有效覆盖范围半径为500m,功耗满足矿用设计要求,验证了方案的可行性。
