资源列表
基于C#和ArcEngine开发的插件式通用GIS应用框架
- 基于C#和ArcEngine开发的插件式通用GIS应用框架，代码扩展性很强。-C# and based on the development of plug-in Universal ArcEngine GIS application framework, code highly scalable.
一款南方CASS的应用小程序
- 一款南方CASS的应用小程序，修改符号，内插高程点及断面的提取等。-The application of a small Southern CASS program, modify the symbols, interpolated elevation and section of the extraction point.
基于肤色的手势识别
- 基于肤色的手势识别，用到opencv 图像库，做手势识别的童鞋可以参考参考，vs2008平台下开发。-Gesture recognition based on skin color, use opencv image library, gesturing recognition of children' s shoes can refer to the reference, vs2008 platform development.
本代码利用小波变换，实现了两幅图像的融合
- 本代码利用小波变换，实现了两幅图像的融合，使用了小波分析工具箱wavemenu，使用了小波分析函数wavedec2()进行小波变换-The code using wavelet transform, to achieve a fusion of two images, using wavelet analysis toolbox wavemenu, using wavelet analysis function wavedec2 () wavelet transform
基于opencv实现的灰度变换
- 基于opencv实现的灰度变换，低通滤波，直方图均衡化，边缘检测等算法。-Opencv implementation based on gray-scale transformation, low-pass filtering, histogram equalization, edge detection algorithm.
计算两个矩阵的欧式距离
- 计算两个矩阵的欧式距离，opencv，对模式识别有帮助！-Two matrices of Euclidean distance calculation
用C++实现图像的旋转 平移等功能
- 用C++实现图像的旋转 平移等功能 使其达到自己需要的效果-Image using C++ features such as rotating pan to achieve their desired effect
V1.0.0.1版的图章制作源码
- V1.0.0.1版的图章制作源码，可制作图章、方章、菱形章等（作者亲传）。,V1.0.0.1 source version of the seal made be made stamps, the chapter, the chapter and other diamond.
matlab做的标定程序
- matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面 ,matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration
自己关于TVL1方法的改进
- 自己关于TVL1方法的改进 用来去除人脸上面的光照得到人脸的纹理图像，对于光照下人脸识别有相当大的作用。也可以用来定位,Their own methods to improve on TVL1 people face to face to remove the light to be Face of texture images, for face recognition under illumination a significant role. Can also be used to pos
R/S分析，matlab程序
- R/S分析，matlab程序，虽然比较繁琐，但还好使，请多多关注,R/S
对UCI数据集之一进行PCA特征抽取实验
- 对UCI数据集之一进行PCA特征抽取实验,给出在二维PCA特征空间的数据散点图。,UCI data sets on one of PCA feature extraction experiments are given in the two-dimensional PCA feature space of the data scatter.