主要为表现listbox的基本和高级用法，实现一些比较漂亮的界面功能...

一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh

五种边缘检测算子的实现，函数具有很好的通用性，凡是能够得到只想图像像素区指针的情况都可以使用。 配合我上传的那个opentrim使用更好，这是一个bmp全色深操作类，里边还集成了一些其他的机器视觉算法。 对图像进行高斯――拉普拉斯算子的边缘检测 对图像进行拉普拉斯算子的边缘检测 对图像进行罗伯特交叉算子的边缘检测 对图像进行蒲瑞维特算子的边缘检测 对图像进行索贝尔算子的边缘检测-5 kinds of edge detection operator to achieve an excellent general-purpose function, and those who just want to image pixels can be indicators of the situation in the district can be used. I upload that with the use of better opentrim, this is a bmp type operation panchromatic deep inside also integrates a number of other machine vision algorithms. Gaussian images- Laplacian edge detection of image Laplacian edge detection of images of Robert crossover operator on the image edge detection operator Po Ray White of the edge detection of image Sobel operator for edge detection

光场的矫正-Light Field Correction

通过GLSTUDIO设计 飞机屏显仿真界面，并用国外VAPS制作的仿真界面进行对比。-GLSTUDIO simulation of the flight through the OSD interface, and use of foreign VAPS simulation interface for making comparisons.

这是hge的Dx9.0版本的引擎，官方的hge游戏引擎只更新到了hge1.8.1所用的dx也是知道dx8.0其实中很多函数在dx9.之后都有了很大的变化，本次更新的hge版本就是通过把原先的dx8.0的版本中的dx8.0的函数替换为dx9。0的版本！

VC03+matlab+access数据库编程，实现树叶识别，配说明文档-VC03+ Matlab+ Access database programming, realize the leaves to identify, with documentation

这是几个数字图像处理的程序实例，有经典的傅立叶变换和反变换、图像增强（中值滤波、增强光照）还有染色体计数。它们都是经典算法的实现。-Here are several digital image processing examples including classical Fourier transform and its inverse, image enhancement (like median filtering, intensity enhancement) and chromosome countering, all are the realizations of classical algorithms.

用最短的时间学会更多更实用的东西。用最短的时间学会更多更实用的东西-With the shortest possible time learn more and useful things. With the shortest possible time, more and learn something useful

利用hough变换来进行圆形检测.Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.-Using hough transform for circle detection. Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. Upper left corner of image is the origin of coordinate system.

PIXEL, by itself, creates a new PIXEL or raises the existing singleton*.-PIXEL, by itself, creates a new PIXEL or raises the existing singleton*.