开发环境是Vc++，但用到Qt，要想运行的安装Qt

数字图象处理目前应用极其广泛，可以处理日常生活中的各种问题，这里给出车辆识别vc源程序-Digital image processing is currently an extremely wide range of applications and can handle various aspects of daily life, here given vehicle identification vc source code

用hough变换检测圆形，算法实现比较简单，用matlab编写，容易读懂，已经过测试-using hough transform to detect circle

经典的bayes分类方法，可以识别不同的手写数字-Classic Bayes classification method to identify different handwritten numeral

采用了sobel、Log算子完成对图像进行边缘检测的功能-Using sobel, Log Operator to complete the image edge detection function

一些图像处理的源代码，vc编写。需要处理图像的可以看一看.-Some image processing source code, vc prepared. Need to deal with images can take a look at.

数字图像处理英文原版书，djvu格式的，可下载阅读器WinDjView观看，很清晰哦！-Digital image processing, the original English edition book, djvu format, downloadable reader WinDjView watch, very clear Oh!

提供完整的vc++环境下的opencv 源代码 效果非常好 可以找一辆自行车试试 呵呵 其中阈值可调-Provide a complete vc++ Environment opencv source code has very good results can try to find a bicycle which呵呵threshold adjustable

Rob Hess C implementation of SIFT that uses OpenCV. It allows for pretty detailed parameter tweaking (e.g. histogram size, DoG thresholds, etc.) If you need flexibility, this is pretty good. -Rob Hess C implementation of SIFT that uses OpenCV. It allows for pretty detailed parameter tweaking (eg histogram size, DoG thresholds, etc.) If you need flexibility, this is pretty good.

gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等-gui interface design, the general image processing, such as rotation, noise, such as histogram equalization

这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配等等…… -This is a C++ language implementation with a fingerprint identification procedure that requires the FVC meet international competition standards, and establish a fingerprint in the school library on the measurement. Program where the technology applied to the following: median filter, histogram equalization, the direction of ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching and so on ... ...