1) brightness normalization
亮度归一化
1.
Regardirer the problem of varying lighting in industrial Image processing pipeline system,this paper(introduces) a brightness normalization method of image by using conics fitting and statistical moments of histogram.
针对工业现场图像识别系统中光照不均匀、不稳定的问题,提出了一种基于二次曲线拟合和直方图统计的图像亮度归一化方法。
2) normalized water-leaving radiance
归-化离水辐亮度
3) gradient normalization
梯度归一化
1.
Fuzzy gradient feature extraction method based on gradient normalization;
基于梯度归一化的模糊梯度特征提取方法
4) length normalization
长度归一化
5) normalized intensity
归一化强度
1.
12) was prepared by the solid-state reaction method, ρ～T curves and ESR spectra of the samples were measured, and the normalized intensity and the linewidth of ESR spectra are studied.
12)多晶材料,测量了样品的ρ~T曲线及ESR谱,对ESR谱的归一化强度和线宽进行了研究。
6) normalized velocity
归一化速度
补充资料：公理化方法(见公理化和形式化)
公理化方法(见公理化和形式化)
axiomatical method
gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条