Jentzsch求共生矩阵,通过MATLAB来求 公升句镇

vc开发的一款绘图程序，应用于铁路战场图的模拟，实现了绘图的基本功能，适合初学者参考（未连数据库）-vc developed a drawing program, applies to the railway map of the battlefield simulation, realize the basic functions of the drawings, suitable for beginners and a reference (not even the database)

矢量图形的绘制 点 线 多变形 椭圆 椭圆弧 面积计算 坐标保存成txt文件

可以以多种方式绘图-it in a variety of ways Mapping

图像拼接在超声波医学图像的应用，对图像拼接的专业人员有用-The application demonstrate the use of Image Mosaicing in ultrasound medical image, and is specially useful for the professionals engaged on Image Mosaicing.

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

程序中的两个类CRecordSound和CPlaySound,可以同时录制和播放PCM声音文件。-procedures for the two categories CRecordSound and CPlaySound. can PCM recording and playback of sound files.

真实感图形Lambert算法画球，自己编的，练练手，练练脚，-photorealistic graphics algorithm painting Lambert ball, his series, to practice hands, feet to practice, huh

本代码用来解决图像格式转换，可以将任意映像文件转换成位图文件-code to solve the image format conversion can be arbitrary image file conversion into bitmap file

在多文档客户区中增加位图及地图演示的程序-Documents in a multi-client area to add digital maps and map presentation of the procedures

三角划分算法演示版，功能超强，是由外国人写的代码，很有学习价值！-Triangulation algorithm demo, features powerful, is the code written by foreigners, great learning value!