Function: to map all of the Z line endpoint coordinates are changed to 0. Uses:...

手写数字识别之模板匹配法-handwritten figures identifiable template matching method

计算图像的信息熵和梯度的算法源码- The computation picture information entropy and the gradient calculate the law origin code

小型CAD绘图系统-small CAD system

一个很简单的VC++实现的在窗口中写字的程序 供MFC初学者参考-a very simple VC in the window and write procedures for beginners reference MFC

人脸识别程序，支持摄像头，需要预先输入图象识别，加入了毛发，人脸360度模型等先进设置，识别率高-Face recognition process, to support the camera, the need to pre-input image recognition, joined the hair, face 360-degree model and other advanced settings, a high recognition rate

程序可以对任意大小的对bmp图片进行热议范围内的切割。-This cut you .bmp picture

多变形填充的程序c语言-more filled the deformation process language c

一个图象处理软件，包涵源代码-an image processsing software, source code included

自己写的B样条.berzier的2次3次曲线，可以画出2次3次的B样条或是BERZIER曲线-himself wrote the B-spline. Berzier the 2nd 3rd curve sense 2nd 3rd B-spline curves or BERZIER

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)