Invention Grant
US07555396B2 Method and system to personalize sensor characterizing reference database in multiple LED spectrophotometers
有权
在多个LED分光光度计中个性化传感器特征参考数据库的方法和系统
- Patent Title: Method and system to personalize sensor characterizing reference database in multiple LED spectrophotometers
- Patent Title (中): 在多个LED分光光度计中个性化传感器特征参考数据库的方法和系统
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Application No.: US11086087Application Date: 2005-03-22
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Publication No.: US07555396B2Publication Date: 2009-06-30
- Inventor: Lalit Keshav Mestha
- Applicant: Lalit Keshav Mestha
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G01D18/00
- IPC: G01D18/00

Abstract:
To generate a reference database for a particular sensor in a multiple LED spectrophotometric system with a reduced number of test measurements taken from training samples, a first set of reflectance reference measurements are generated from a test target on to a reference sensor from a plurality of different LED emissions. A first spectral reconstruction reference matrix is computed by performing an operational characterization of the reference sensor from the first set of reflectance reference measurements. A second set of reflectance reference measurements from the test target is generated from a second subject sensor whose operation is to be personalized by the objective reference database. The second set of reflectance reference measurements are less in number than the first set. A second reconstruction matrix is computed by performing an operational characterization of the subject sensor from the second set of measurements. The second reconstruction matrix is adjusted by relating the second set of reflectance measurements to a set of corresponding reflectance measurements of the reference sensor, whereby the adjusting of the second matrix comprises computing an optimal solution spectral reconstruction matrix for the second sensor. The reference database is generated from the optimal solution spectral reconstruction matrix.
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