同时，ITFA对于先验性的滑窗长度、检测阈值具有较好的鲁棒性。
Besides this, the ITFA also has strong robustness to apriori parameters, such as moving window size and detection threshold.
针对复杂噪音干扰的显微图像，提出一种新的基于统计原理的边缘检测阈值分析方法。
An edge detection method of noisy micro image was proposed where threshold was performed via statistical principles.
数据集中起来以产生有用的信息和与其它事务的关系，另外也可以根据您的需求检测阈值。
The data collected is aggregated to generate useful information and correlated with other transactions, and thresholds are measured, based upon your requirements.
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