结果显示，采用边界点方法处理渗流问题，具有计算程序简单，且计算精度较高的优点。
The results showed that using the boundary point method to calculate seepage problem has the advantage of easy calculation program, high calculation accuracy, and easy to master and extend.
通过统计特定区域的边界点和分析图像分割的效果，提出了一种评价CCD相关误差的方法。
An evaluation method of CCD is proposed by calculating edge pixels and analyzing image segmentation quality of particular regions.
利用后滤波的原理，对多邻接点时新边界点的选择和轮廓端点的对称合成等问题进行了分析，采用构造拟合曲线查找表进行曲线拟合的方法实现反走样。
By use of the theory of after filter, the problems of selecting new boundary point when several points border upon each other and symmetrical combination for outline points are analyzed.
在机动边界点的求解上采用解析解和数值解对比的方法，降低了计算难度。
In the mobile boundary point by solving the analytical solution and numerical solution contrastive method, reduce the computational difficulty.
本方法主要针对定位容易出现错误的外边界，利用虹膜的结构特征和数学手段，对得到的虹膜外边界点进行验证，必要时通过计算得到准确的外边界点。
To the iris' outer boundary, we use the feature of the iris' structure and mathematical means to verify whether the iris outer boundary points are correct, and calculate the correct ones if necessary.
在有功率限制时，最优的功率控制方法是脉冲型功率控制，然后可以用迭代的方式求解最优边界点。
With power control, the optimal power control is pulse like and the optimal solution can be achieved by an iterative fashion.
为了增加对事件边界的覆盖率，EBTAC算法引入了事件外边界点(ep)并给出了其计算方法。
In order to increase the coverage rate of NEBs to the event region, the external event point (EP) was introduced and the calculation method of the EP was also discussed in detail.
为解决软件测试丢失数据遗补的问题，构造出了一种算法，包括三种数据丢失情况的处理设计，即单内点丢失、连续几个内点丢失和边界点丢失的遗补方法设计。
To resolve this problem, this paper designs an algorithm, which consists of three sub-designs they are the single-internal point lost, consecutive-internal points lost and end-points lost.
材料和方法：用基于边界点链码的数据结构(线段表)来描述和存储二维图像。
Material and Method: in this paper, we try to describe and store the image using a data structure, interval list, which was based on the Freeman Chain Code of the image's boundary.
材料和方法：用基于边界点链码的数据结构(线段表)来描述和存储二维图像。
Material and Method: in this paper, we try to describe and store the image using a data structure, interval list, which was based on the Freeman Chain Code of the image's boundary.
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