标准化
像素
主成分分析
计算机科学
探测器
灵敏度(控制系统)
直线(几何图形)
同种类的
人工智能
模式识别(心理学)
数学
电子工程
工程类
电信
几何学
操作系统
组合数学
作者
Zheng Liu,Honglu Yu,John F. MacGregor
摘要
Abstract A simple and easy to use method is proposed for standardizing NIR imaging systems for differences among detectors in the charge‐coupled device (CCD) array and illumination unevenness. The standardization equations are then used to pre‐treat NIR image data to reduce the systematic errors introduced by a line‐scan NIR imaging system. The method requires only easily available homogeneous standards with relatively uniform spectral response. The effectiveness of the standardization in reducing the pixel‐to‐pixel biases and other systematic effects is illustrated with examples, and the improved sensitivity in results obtained from a multivariate image analysis (MIA) based on multi‐way principal component analysis (MPCA) is demonstrated. Copyright © 2007 John Wiley & Sons, Ltd.
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