A graphic image for the detection of line and arc of the C-language source code.
一个用于检测图形图像中直线以及弧张的C语言的源代码。
Even though the written word C-A-T looks nothing like a cat, and the spoken word "cat" sounds nothing like a cat sounds, when someone says the word out loud, you're able to conjure up an image.
尽管猫的文字，看起来一点不像一只猫，口语“猫”听起来不像一只猫的叫声，但是，有人大声念这个词的时候，你可以在脑海里变出了一个猫的形象。
The C# client code in Listing 4 loads an image from the file system and sends it to the server through the available sendImage(byte[] i) operation.
在清单4中 C#客户端代码从文件系统装载一个图像，然后通过sendImage(byte[]i) 操作把它发送给服务器。
When the CRT/C++ Library is linked statically, then all its code is embedded into the resulting executable image. This technique has both advantages and disadvantages.
如果静态链接CRT/C++库，则程序启动时这些库的代码也一并会被加载紧内存中，这种方法的优点和缺点并存。
To help you quickly narrow your image search, the Explorer pane provides filters for narrowing your search results by using attributes such as size, layout, color, style, and people (Figure c).
为了帮助你快速缩小搜索范围，浏览窗格通过使用大小、布局、颜色、格式及人物等属性，提供过滤功能来缩小搜索结果范围(图c)。
If the string-pooling option, [/GF], is enabled in Visual C++, then a single copy of the string is kept in the program image during execution and string1 equals string2.
如果在Visual C++ 中启用了字符串池选项 [/GF]，那么在执行期间，将在程序的映像中仅保存该字符串的单个副本，且string1 与 string2 相等。
Figure xx shows a C-2 form generated by the sample application with the data overlaid on the C2 form image.
图xx显示了一个由示例应用基于C2表格图片生成的图表数据叠加c - 2表单。
Starting with DB2 Express-C Version 8.2, you can include logs into your backup image with the include logs option in the backup command.
从DB2Express-CVersion 8.2 开始，可以在备份命令中使用includelogs选项，从而将日志包含在备份映像中。
Click the Browse button and select c: \ GSDB_BACKUP as the location for the backup image (Figure 9).
单击browse按钮并选择C： \ GSDB_BACKUP作为备份映像的位置(图9)。
To install DB2, double-click on C:\DB2\ESE\image\setup.exe application.
要安装DB2，双击C:\DB2\ESE\image\setup.exe应用程序。
C or F value, the X and Y coordinates of the center of a pixel at the up-left corner of the image, can be measured according to characteristic point in topographic map.
值为栅格图像左上角像素中心在地图上的X，Y坐标，其值可以根据特征点在地形图中的坐标量测获得。
Later we added two more modules, an image generator written in c, and a back-office manager written mostly in Perl.
后来增加了两个模块：C写的图片生成器以及Perl写的结算工具。
The image requires some updates to bring in the multi-touch logic, and the Objective-C bridge.
更新一下映像，就可以引入multi-touch逻辑以及Objectiv-C的接口。
Panel (c) Cloud-top pressure for all clouds in the image./
c组表示图片中的云端气压图。
This code function is a linear transformation for the image. Can be run directly on the DM642 C++ code.
说明：这个代码的功能是用于图像的线性变换。是可以在DM642上直接运行的C++代码。
This paper briefly analyzes the working principle of fluoroscopy of C-arm, describes its analysis and troubleshooting process of no image display.
简要分析了C型臂机透视工作原理，介绍了曝光正常但无图像显示故障的分析和排除过程。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
Methods: VEGF-C protein expression in benign and malignant oral lesions was investigated with an immunohistochemical staining assay, followed by light microscopic examination and image analysis.
方法：采用免疫组化染色，光镜及图像分析观察并确定VEGF - C在正常口腔粘膜、白斑及鳞癌等组织中的表达。
Aimed to the testing problem of brazing quality of arc surface electric contact, its ultrasonic C-scan image model was built firstly.
针对弧形触点的钎焊质量检测问题，首先建立了弧形触点的超声c扫描图像模型。
The classical C-means clustering algorithm (CMA) is a well-known clustering method to partition an image into homogeneous regions.
经典的C -均值聚类算法（CMA）是将图像分割成C类的常用方法，但依赖于初始聚类中心的选择。
Without considering the spatial information of images, the original fuzzy C-means algorithm is very sensitive to image noise.
由于原始的模糊c -均值聚类算法没有考虑图像的空间信息，算法对图像中的噪音点十分敏感。
The effect of C is large for aerial image segmentation and classification.
航空影像纹理分类和分割对常数C敏感；
This paper gives some relation of U. S. C. and L. S. C. of set-valued mappings with closed and open property of image.
本文给出了集值映射的上半连续性和下半连续性同图象的闭性和开性间的一些关系。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
Compared with traditional image segmentation methods, C-V model has some special advantages: it can accommodate itself to the changes of the object's Geometric topology and obtain continuous boundary.
因而C -V模型具有其它传统图像分割方法不具备的许多优点：它可以自动适应目标几何结构的拓扑变化，获得连续边缘。
Results show that the moment matching is better than the C correction improved method to the terrain complex area and large image.
结果表明，对于地形复杂的山区，图像较大的高分辨率影像，矩匹配方法优于C校正改进方法。
Using CUDA C language, using CUDA texture memory, image stretching parallel implementation.
说明：使用CUDAC语言，利用CUDA纹理内存，实现图像拉伸的并行实现。
It is a procedure of the label following an unsupervised fuzzy clustering that fuzzy c-means (FCM) algorithm is applied to image segmentation.
算法用于图像分割是一种非监督模糊聚类后再标定的过程。
After median filtering, image mode transforming, and "bad area" filtrating to images of soil layer, the authors extract the characteristic parameter of a image, that is gray-value, and c.
通过土壤表层图像的中值滤波、图像模式转换和“坏区”过滤，提取图像的特征参数——灰度值，并对土壤表层图像的灰度值与其含水率的关系进行了试验研究。
After median filtering, image mode transforming, and "bad area" filtrating to images of soil layer, the authors extract the characteristic parameter of a image, that is gray-value, and c.
通过土壤表层图像的中值滤波、图像模式转换和“坏区”过滤，提取图像的特征参数——灰度值，并对土壤表层图像的灰度值与其含水率的关系进行了试验研究。
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