大恒图像采集卡源代码

编码方式的解码示范uuencode and uudecode are in the public domain. dos2unix and unix2dos are hereby placed in the public domain. They may be shared or copied as long as NO fee is charged for their distribution or use. -the encoding and decoding demonstration uuencode uudecode are in the public domain. dos2unix and unix2dos are hereb y placed in the public domain. They may be shared or copied as long as NO fee is charged for their di stribution or use.

现在我们给定两幅ALV路标的捕捉图像，我们实际工作中首先要捕获路标（这里我们假定环境中已经有路标），而此时的景象是难以预知的：我们不知道路标在什么位置、是什么路标、除了路标还有那些图像模式？ 基本要求：使用本章学习的K－平均算法，以颜色分量（或几何性状）作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别。试验报告同前面一样，要求给出样本模式点，绘制坐标图（标出各个聚类中心的迭代移动轨迹） ，绘制算法框图，给出结论。并检查上机结果。 -err

最新的图像处理算法 用C写的，运算速率很高-The latest image processing algorithm written in C, high speed computing

基于神经网络的人脸识别训练函数，非常有用，研究生优秀作品-Face recognition based on neural network training function, very useful, graduate outstanding works

肤色检测代码，精确度能有80左右。matlab代码 -Color detection code, accuracy can have 80 or so. matlab code

usart串口程序，自发自首电路程序，对ATmage16的usart接口构成的外围硬件电路进行测试-usart

一种新的计算马氏距离的算法，算法采用二次协方差矩阵操作，进而使距离考加入相对性因素。-a new Mahalanobis distance calculation algorithm, the algorithm using quadratic covariance matrix operations, thereby enabling the relative distance to take factors.

TPicShow is an image slider control with 171 transitional effects in pure Delphi code. The major characteristics of TPicShow are: Image transition can be controlled programmatically Image can be stretched or centered in the client area of the control Control can show a background image as centered, stretched, or tiled Transition process can use a separated thread New transitional effects can be easily implemented and added to the control TDBPicShow is the data-aware version of TPicShow with ability to load bitmap, jpeg, and metafile images (natively) from a blob field.

利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.

基于隐马尔可夫模型的人脸识别 需要opencv3.1版本才能使用-Based on Hidden Markov Model Face Recognition opencv3.1 versions need to use