使用VFW进行摄像头调用，可以完成基本功能

实现图片的伸缩显示-achieve telescopic images show

VC++做的8格游戏，支持人机交互，包括各种算法研究，和实例分析-VC++ Do 8 grid game, support the human-computer interaction, including a variety of algorithms, and examples of analysis

细胞的识别与统计主要统计细胞的个数与面积特征的提取-cell identification and statistics major statistical cell number and characteristics of the extraction area

在VC6.0中利用GDI+处理图形图象中的简单绘图-in VC6.0 use GDI graphics image processing simple drawings

多点计算，峰值计算，随机产生n_gene个基因段，随机产生个体的同源基因段3-more, the peak, randomly generated n_gene genes of randomly generated individual gene homology of the three

DirectX凹凸贴图

位图的存取在vc中的 因为所在的项目中我负责的模块是有关与位图的读写和存储的，所以看了一些资料后，并且成功在vc 下实现所需的功能后写下这篇读书报告。 对于位图，要想在vc中实现读取和存储，先必须了解BMP的文件格式。 BMP文件大体上分成四个部分：位图文件头，位图信息头，调色板，实际的位图数据。 位图文件头BITMAPFILEHEADER是一个结构，它的定义如下： typedef struct tagBITMAPFILEHEADER{ WORD bfType DWORD bfSize WORD bfReserved1 WORD bfReserved2 DWORD bfOffBits }BITMAPFILEHEADER实现-Bitmaps in vc access because of the projects where I am responsible for the module is concerned with reading and writing bitmap and storage, so read some information, and the success achieved in vc feature required to write This study reports. For bitmap, in order to achieve in the vc read and stored, first must understand the BMP file format. BMP files generally divided into four parts: the first bitmap file, BITMAPINFOHEADER, palette, the actual bitmap data. BITMAPFILEHEADER bitmap file header is a structure, it is defined as follows: typedef struct tagBITMAPFILEHEADER (WORD bfType DWORD bfSize WORD bfReserved1 WORD bfReserved2 DWORD b

用VB编的一个小把戏,用来唬唬不懂的MM还是可以的-VB series with a small trick for the Huguo understand it"s still MM

在VC++6.0应用程序中利用位图实现大数据量计算绘图的快速显示、保存与打印-in VC 6.0 applications using bitmap data to achieve great amount of rapid mapping, conservation and Print

其实颜色直方图简单来说，就是统计图像中具有某一特定颜色的象素点数目而形成的各颜色的直方图表示，不同的直方图代表不同图片的特征-color histogram simple fact, it is statistical image with a specific color of the pixel number of points which are in the color histogram, different pictures representing different histogram feature