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公开(公告)号：CN101002460A
公开(公告)日：2007-07-18
申请号：CN200580025849.3
申请日：2005-06-21
Applicant: 兰达解决方案公司
Inventor： 刘堪文
CPC classification number: G01N30/8641 , G01N21/274 , G01N2201/12784 , G06T5/002
Abstract: 本发明涉及输入数据的自动背景去除。提供对于诸如光谱测定数据的输入数据的自动背景信号去除。输入数据包括输入像素点，诸如由CCD光谱仪或色谱装置读取的输入像素点，以及与数据点对应的强度值。确定数据点之间的强度值变化的分布，并通过设定分布的阈值判断噪声水平。噪声区域被识别为预定数量的强度值变化在噪声水平内的连续输入点。相邻噪声区域可以被连接，并且背景信号由此被确定和减去。尖峰噪声区域也可被识别和滤除，使得从少于第二预定数量的像素点获得的峰被确定为尖峰，不是真实的峰。非尖峰的大幅值噪声被任选地滤除。
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公开(公告)号：CN108981780A
公开(公告)日：2018-12-11
申请号：CN201710389383.X
申请日：2017-05-31
Applicant: 王在彬
Inventor： 陈爱美
CPC classification number: G01D18/00 , G01F1/66 , G01F25/0007 , G01N21/31 , G01N2201/12784
Abstract: 本发明涉及一种测量仪器的标定校准方法。本发明针对被测量值与测量特征值之间存在线性关系的测量仪器，依据“两点决定一条直线”的数学原理，采用两点标定的标定校准方法。即选取两个不同的测量特征值，分别测量出相应的被测量值，再根据这两组数据，利用本发明给出的数学公式，就可以求解出被测量值和真实值（或测量特征值）之间的线性函数，完成对测量仪器的标定校准。
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公开(公告)号：CN106442339A
公开(公告)日：2017-02-22
申请号：CN201610832202.1
申请日：2016-09-19
Applicant: 北京农业质量标准与检测技术研究中心
IPC: G01N21/25
CPC classification number: G01N21/25 , G01N2201/12 , G01N2201/12707 , G01N2201/12784
Abstract: 本发明提供一种熟肉冷藏时间可视化检测方法及装置，包括：获取待测熟肉的高光谱图像；对高光谱图像进行选取获得预设像素范围区域，并计算获得的预设像素范围区域的平均光谱值；根据平均光谱值和预设多模型共识-连续投影支持向量回归模型，计算获得待测熟肉的冷藏时间并输出显示。本发明提供的一种熟肉冷藏时间可视化检测方法及装置，通过获取待测熟肉的高光谱图像，并进行选取获得预设像素范围区域，并计算预设像素范围区域的平均光谱值；根据平均光谱值和预设多模型共识-连续投影支持向量回归模型，计算待测熟肉的冷藏时间并输出显示，达到检测结果更加准确，预测结果更直观。
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4.发明授权Automatic background removal for input data having consecutive input points identification 失效具有连续输入点识别的输入数据的自动背景去除公开(公告)号：US07329852B2
公开(公告)日：2008-02-12
申请号：US11487777
申请日：2006-07-17
Applicant: Canwen Liu
Inventor： Canwen Liu
IPC: H01L31/00
CPC classification number: G01N30/8641 , G01N21/274 , G01N2201/12784 , G06T5/002
Abstract: Automatic background signal removal for input data, such as for spectrometry data, is provided. Input data includes input pixel points, such as those read by a CCD spectrometer or chromatography device, and intensity values corresponding to the data points. A distribution of changes in the intensity values between the data points is determined, and a noise level is judged by setting a threshold for the distribution. A noise region is identified as a predetermined number of consecutive input points for which the changes in the intensity values are within the noise level. Adjacent noise regions may be connected and the background signal is thus determined and subtracted. A spike noise region may also be identified and filtered, such that a peak obtained from fewer than a second predetermined number of the pixel points is determined as a spike, not a true peak. Non-spike large amplitude noises are optionally filtered.
Abstract translation: 提供输入数据的自动背景信号去除，如光谱数据。 输入数据包括诸如由CCD光谱仪或色谱装置读取的像素点和对应于数据点的强度值的输入像素点。 确定数据点之间强度值变化的分布，并通过设定分配阈值来判断噪声水平。 噪声区域被识别为强度值的变化在噪声水平内的预定数量的连续输入点。 可以连接相邻的噪声区域，从而确定并减去背景信号。 也可以识别和滤波尖峰噪声区域，使得从少于第二预定数量的像素点获得的峰值被确定为尖峰，而不是真峰值。 可选地过滤非尖峰大振幅噪声。
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公开(公告)号：US10018561B2
公开(公告)日：2018-07-10
申请号：US14420101
申请日：2013-07-23
Applicant: PerkinElmer Singapore PTE Ltd
Inventor： Robert Alan Hoult
IPC: G01N21/62 , G01J3/28 , G01N21/27 , G01N21/552
CPC classification number: G01N21/62 , G01J3/28 , G01N21/274 , G01N21/552 , G01N2201/1218 , G01N2201/12784
Abstract: A method of using a spectrometer to produce corrected diamond Attenuated Total Reflectance (ATR) spectral data includes acquiring, using the spectrometer, an initial set of ATR spectral data for a sample pressed into contact with a diamond ATR crystals; numerically matching, using the spectrometer, a pressure dependent diamond artifact reference spectrum to a corresponding pressure dependent diamond artifact in the initial set of ATR spectral data; and numerically subtracting out the numerically matched pressure dependent diamond artifact reference spectrum from the initial set of ATR spectral data to yield a corrected set of ATR spectral data for the sample for output by the spectrometer.
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Patent Agency Ranking
公开(公告)号：US20230266236A1
公开(公告)日：2023-08-24
申请号：US18173035
申请日：2023-02-22
Applicant: Hyperspectral Corp.
Inventor： Euan Mowat , Matthew Theurer , Sarah Rachel Hernandez , Mario Martinez
CPC classification number: G01N21/314 , G01N21/274 , G01N2021/317 , G01N2201/12784 , G01N2201/0484 , G01N2201/061 , G01N2021/0125
Abstract: An example system includes a light intensity measuring apparatus couplable to a food processing apparatus and a computing system. The light intensity measuring apparatus includes a chamber configured to receive a water sample from the food processing apparatus, a light source, a detector configured to detect light that has passed through the water sample and measure multiple times intensities of wavelengths of the light to obtain multiple sets of measured intensities of wavelengths, and a communication module configured to provide the multiple sets of measured intensities of wavelengths. The computing system may receive the multiple sets of measured intensities, process the multiple sets to obtain a set of values, apply a first set of decision trees to the set of values to obtain a first result indicating a positive or negative foodborne pathogen detection, generate a notification indicating either the positive of negative detection, and provide the notification.
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公开(公告)号：US5347474A
公开(公告)日：1994-09-13
申请号：US762396
申请日：1991-09-19
Applicant: Jacob Y. Wong
Inventor： Jacob Y. Wong
CPC classification number: G01N21/274 , G01N21/3504 , G01N2201/12753 , G01N2201/12784
Abstract: Some cyclic variables include within each cycle a value that can be determined extrinsically. In such case, the sensed value may differ from the known value by an amount that is a combination of long-term drift of the sensor and random measuring error. The drift component can be evaluated and eliminated by the following method. Once each cycle, for a number of cycles, the sensor measures the variable at a time when its value should equal the extrinsically-known value. The differences are plotted versus time, and a best-fitting straight line is determined, which indicates the drift. Throughout the next cycle as the variable is continuously sensed, the drift determined from the best-fitting straight line is continuously applied to correct the sensed value.
Abstract translation: 一些循环变量包括在每个周期内可以通过外部确定的值。 在这种情况下，感测值可以与已知值不同，该量是传感器的长期漂移与随机测量误差的组合。 可以通过以下方法评估和消除漂移部件。 每个循环一次，在多个循环中，传感器在其值应等于外部已知值的时候测量变量。 差异相对于时间作图，并且确定最佳拟合直线，其指示漂移。 在连续感测变量的整个下一个循环中，连续施加从最佳拟合直线确定的漂移以校正感测值。
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8.发明公开公开(公告)号：US20230160812A1
公开(公告)日：2023-05-25
申请号：US18151632
申请日：2023-01-09
Applicant: VIAVI Solutions Inc.
Inventor： Lan SUN , Changmeng HSIUNG
CPC classification number: G01N21/274 , G06F17/18 , G01N2201/12753 , G01N2201/12769 , G01N2201/12784
Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.
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公开(公告)号：US20060255249A1
公开(公告)日：2006-11-16
申请号：US11487777
申请日：2006-07-17
Applicant: Canwen Liu
Inventor： Canwen Liu
IPC: G06M7/00
CPC classification number: G01N30/8641 , G01N21/274 , G01N2201/12784 , G06T5/002
Abstract: Automatic background signal removal for input data, such as for spectrometry data, is provided. Input data includes input pixel points, such as those read by a CCD spectrometer or chromatography device, and intensity values corresponding to the data points. A distribution of changes in the intensity values between the data points is determined, and a noise level is judged by setting a threshold for the distribution. A noise region is identified as a predetermined number of consecutive input points for which the changes in the intensity values are within the noise level. Adjacent noise regions may be connected and the background signal is thus determined and subtracted. A spike noise region may also be identified and filtered, such that a peak obtained from fewer than a second predetermined number of the pixel points is determined as a spike, not a true peak. Non-spike large amplitude noises are optionally filtered.
Abstract translation: 提供输入数据的自动背景信号去除，如光谱数据。 输入数据包括诸如由CCD光谱仪或色谱装置读取的像素点和对应于数据点的强度值的输入像素点。 确定数据点之间强度值变化的分布，并通过设定分配阈值来判断噪声水平。 噪声区域被识别为强度值的变化在噪声水平内的预定数量的连续输入点。 可以连接相邻的噪声区域，从而确定并减去背景信号。 也可以识别和滤波尖峰噪声区域，使得从少于第二预定数量的像素点获得的峰值被确定为尖峰，而不是真峰值。 可选地过滤非尖峰大振幅噪声。
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公开(公告)号：US20050285023A1
公开(公告)日：2005-12-29
申请号：US10874420
申请日：2004-06-23
Applicant: Canwen Liu
Inventor： Canwen Liu
CPC classification number: G01N30/8641 , G01N21/274 , G01N2201/12784 , G06T5/002
Abstract: Automatic background signal removal for input data, such as for spectrometry data, is provided. Input data includes input pixel points, such as those read by a CCD spectrometer of chromatography device, and intensity values corresponding to the data points. A distribution of changes in the intensity values between the data points is determined, and a noise level is judged by setting a threshold for the distribution. A noise region is identified as a predetermined number of consecutive input points for which the changes in the intensity values are within the noise level. Adjacent noise regions may be connected and the background signal is thus determined and subtracted. A spike noise region may also be identified and filtered, such that a peak obtained from fewer than a second predetermined number of the pixel points is determined as a spike, not a true peak. Non-spike large amplitude noises are optionally filtered.
Abstract translation: 提供输入数据的自动背景信号去除，如光谱数据。 输入数据包括诸如由色谱装置的CCD光谱仪读取的输入像素点和对应于数据点的强度值。 确定数据点之间强度值变化的分布，并通过设定分配阈值来判断噪声水平。 噪声区域被识别为强度值的变化在噪声水平内的预定数量的连续输入点。 可以连接相邻的噪声区域，从而确定并减去背景信号。 也可以识别和滤波尖峰噪声区域，使得从少于第二预定数量的像素点获得的峰值被确定为尖峰，而不是真峰值。 可选地过滤非尖峰大振幅噪声。
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