虹膜图像的预处理包括虹膜图像的定位、归一化、增强和去噪。
It is composed of iris localization, iris normalization, iris image enhancement and denoising in image preprocessing.
本文对签名信息入行去噪、方向归一化等预处置，去除原始采集数据中的干扰或无用信息，将采集的数据变成相宜于特性提取的形式。
The usefulness information is removed from the original signature information by pretreatment and the signature data is converted to a form suitable for extracting the signature features.
本文首先对手写数字图像的图像灰度化、二值化、去噪、细化、归一化、特征提取等预处理过程进行分析；
This paper analyse the image enhancement, the binarization, the noise abatement, the thinning, the normalization and the feature extraction on the handwritten digit recognition.
针对元音共振峰的实验研究中，讨论的比较多的是如何去差别化，也就是归一化、标准化的问题。
The experimental study which on the vowel formant is mainly about how to removal of differences, it is also known as normalization or standardization.
基于局部归一化的局部方差去噪模型在平坦区域去噪明显，但去噪速度慢，而且纹理细节保护欠佳。
Removal model based on local variance normalized can remove noise significantly in flat area but slowly and maintains the texture details poorly.
基于局部归一化的局部方差去噪模型在平坦区域去噪明显，但去噪速度慢，而且纹理细节保护欠佳。
Removal model based on local variance normalized can remove noise significantly in flat area but slowly and maintains the texture details poorly.
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