In order to ensure high recognition rate and remove the disturbing factor in iris image, an algorithm of segment detection is proposed to detect eyelid and remove it.
虹膜图像中通常包含了干扰因素的眼睑，为了消除影响识别效果的这种干扰因素，保证较高的识别率，提出一种分段检测算法。
Then the incident detection algorithm of urban expressway based on the proposed segment density difference model is proposed, and the logic determining incidents procedure is also provided.
随后在此公式基础上提出基于路段密度差模型的快速路异常事件检测算法，设计了异常事件判断的逻辑流程。
Experimental results demonstrate that the proposed algorithm has small computational requirements, high detection accuracy, and the capability of providing complete line segment description.
实验表明所提算法计算消耗小，检测精度高，并能提供直线段的完整描述。
Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.
针对目前心电图s T段诊断准确度不高，容易受到噪声干扰的情况，提出了一种基于最小二乘多项式拟合的ST段形态识别算法。
Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.
针对目前心电图s T段诊断准确度不高，容易受到噪声干扰的情况，提出了一种基于最小二乘多项式拟合的ST段形态识别算法。
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