streamc on the two example programs can be revised.

针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法， 算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚 警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标 排除．实验结果证明了算法的可行性． 关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition

功能丰富的图像处理代码，提供很多图像处理实例-Feature-rich image processing code, offer a lot of image processing examples

一个小巧的基于单文档界面的3D字体显示例程-a compact based on a single document interface 3D fonts show routines

色彩空间传输的源码，实现色彩空间的传输和变换-color space transmission source code, the color space to achieve the transmission and transformation

最近自己做的一个读位图文件的程序。。在程序中修改文件。-Recently, a time to do their own bitmap files. . In the procedure to modify the file.

这也是一个用A*算法编写的寻路搜索算法源程序，-This is an A* algorithm used to prepare the wayfinding search algorithm source,

本软件提供了四种不同的细化算法：Hilditch细化算法，Pavlidis细化算法，Rosenfeld细化算法，基于索引表的细化细化算法，为选择细化算法提供了选择的余地。-The software provides four different thinning algorithm : Hilditch refinement algorithm, Pavlidis refinement algorithm, Rosenfeld refinement algorithm, based on the index table thinning thinning algorithm, refinement algorithm for the selection of choice.

Image File format, show you the complete bitmap structure & explain all the structure

获得所有Windows下与文件关联的图标-access to all Windows files associated with the icon

利用得到道路上的图像对车道进行虚拟线圈的设置,方便利用这些虚拟线圈进行跟踪车辆的运行状况-used to be on the road to image right lane virtual coil configuration to facilitate the use of these virtual coil tracking vehicles running