An improved algorithm of the traditional fingerprint image segmentation algorithm-variance method is proposed.

提出了一种传统的指纹图像分割算法——方差法的改进算法。

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Some normalization methods are discussed in detail, including histogram method, expectation-variance method and trend surface analysis.

这里详细介绍了各种测井数据标准化的方法原理，并给出了相应的实例。

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Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.

利用最大类间方差法（OTSU）求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。

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This allows both variance in modes and methods of teaching but also something close to a rigorous and comparable measurement method.

FORBES: Arnold Kling's New Model for Education Already Exists