图2是演示应用程序的另一个面板，它包含更复杂的组件类型，如分割窗格、树和显示HTML内容的编辑器窗格。
Figure 2 is another panel of the demonstration application, containing more complex component types such as split panes, trees, and an editor pane showing HTML content.
这为将来的开发工作如包列表索引与分割打下了基础，而这些工作会减少一些攻击向量。
This has laid the groundwork for future developments, such as packet list indices and partitions, which will help with some of the attack vectors down the road.
标点符号将搜索词汇分割成单独的可搜索片断，如清单26所示。
Punctuation characters split the search term into separately searchable fragments, as shown in Listing 26.
如Google框架MapReduce；MR描述了一种使用Map功能实现并行性的方法，它将大型数据分割成多个键-值对。
Like the Google framework MapReduce; MR describes a way of implementing parallelism using the Map function which splits a large data into multiple key-value pairs.
图像分割是很多高级图像处理技术(如可视化、图像压缩、医学图像诊断等)的重要基础工作。
Image segmentation is a key basis of many higher level image processing activities such as visualization, compression, and image guided medical diagnoses.
如将图像按不同的灰度范围加以分割，则必须取多个门限。
We must get many thresholding for segmentation picture when we used different range of gray-level.
对具有边界不明显和亮度非均匀特征的图像，如金相学图像，使用传统方法进行分割难以得到令人满意的分割效果。
Those objects without regular boundaries and homogeneous intensities, such as metallographic images, make the conventional approaches hard to achieve a satisfactory partition.
图像在分割后的处理，如特征提取、目标识别等都依赖于图像的分割质量，因此具有十分重要的意义。
Image segmentation is significant because all subsequent tasks such as feature extraction, object recognition are dependent on the quality of image segmentation.
在昆虫图像处理过程中，经常会出现昆虫图像粘连现象，如果不能有效地分割这些粘连部分会影响分析（如自动统计）结果的精确性。
The conglutination phenomenon often appears in actual processing of insect images, which may causes difficulty for consequent process if not be disposed.
与此同时，通过影像分割得到影像对象，并测量这些对象的各个特征，如光谱特征、几何特征及拓扑特征等。
Meanwhile, the whole imagery was segmented into image objects, and subsequently the features used were measured, like spectral, geometrical and topological features.
若把成像系统作为线性空变系统来进行处理，根据等晕成像原理，如将降质图像分割为不同区域进行复原的话，则可以有效地提高图像的恢复效果。
The result will be improved if the degraded image is divided into regions to be restored according to the isoplanatic theory, on the basis of that the system is a linear variant one.
进一步的，我们运用我们的框架解决了一些模型理解问题，如特征提取、特征编辑、模型分割等。
Further more, we use our framework to solve some model comprehension problems, such as feature extraction, feature editing and segmentation.
由于我们只关心第二个用户ID，只需使用该索引(如分离得到的分割数据从零开始的数组)。
Since we are only concerned about the second User ID, we simply use that index (as split give a zero based array of split data).
由于我们只关心第二个用户ID，只需使用该索引(如分离得到的分割数据从零开始的数组)。
Since we are only concerned about the second User ID, we simply use that index (as split give a zero based array of split data).
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