提出了一种传统的指纹图像分割算法——方差法的改进算法。
An improved algorithm of the traditional fingerprint image segmentation algorithm-variance method is proposed.
对最大类间方差法的改进主要表现在两个方面：建立阈值的评价准则和提高算法的运行速度。
The improvement in Ostu algorithm is represented in two aspects: establishing evaluation rules of segmentation threshold and accelerating the algorithm's operation.
在对采集的实时序列图像进行滤波处理后，本文通过改进最大类间方差法，并将其和自适应波门跟踪方法结合起来实现运动目标的跟踪。
After preprocessing the sampled real-time image sequences, moving target tracking is realized by combining improved Ostu algorithm and adaptive window tracing method.
针对传统的基于方差法的指纹图像分割法存在的问题，提出了一种改进的指纹图像分割算法。
Address the traditional variance-based method for fingerprint image segmentation problems, put forward an improved algorithm for fingerprint image segmentation.
通过计算机模拟，针对改进的漏桶法对信元丢失率、信元平均延迟、信元延迟方差带来的影响进行了定量的分析。
Through the computer simulation, a quantitative analysis is given about the influence that the modified model brings to the cell losing ratio, the cell average delay and the average delay variance.
通过计算机模拟，针对改进的漏桶法对信元丢失率、信元平均延迟、信元延迟方差带来的影响进行了定量的分析。
Through the computer simulation, a quantitative analysis is given about the influence that the modified model brings to the cell losing ratio, the cell average delay and the average delay variance.
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