ImageBoard

将一幅rgb图像转换成灰度图像，并显示出灰度图像。(the functon is to make a rgb image to gray image.)

亚像素级cvFindCornerSubPix角点检测，可较为精确地对角点进行检测(The subpixel cvFindCornerSubPix corner detection)

一个简单的虚线类，绘制各种虚线的C++类库，请看效果截图，可绘制出各种彩色的虚线效果。画横向或竖向虚线，以及对角线的虚线框效果，都是可以的，带有一个演示程序。(A simple dashed class, draw various dashed C++ library, see the effects shots, you can draw a variety of color dotted effect. Draw horizontal or vertical dashed line, as well as the effect of diagonal dashed box, are possible with a demo program.)

1990年—adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution.pdf

Opencv处理图像，用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)

demons三维非刚性图像配准，速度很快，基于ITK(demons of 3D non-rigid image registration, very fast, based on ITK)

opencv SIFT源码详细分析，代码能够准确实现(opencv SIFT detailed analysis of the source code can achieve accurate)

KLT point match:Detection and Tracking of Point Features.

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )