指纹识别

对双目视觉图像对进行匹配获取视差图，为后续三维重建做基础。(Binocular vision images are matched to obtain the disparity map, as a foundation for the subsequent three-dimensional reconstruction.)

hsv的空间量化，要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。(hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

二值图像的Zhang快速并行细化算法，具有速度快、保持细化后曲线的连通性和无毛刺产生等优点。(Zhang fast parallel thinning algorithm)

摄影测量中影像匹配的程序，选择左右影像，可直接显示匹配结果。程序用C#编写(Photogrammetry image matching procedures, C# Prepared)

Visual C++MATLAB图像处理与识别实用案例精选之　图像中值滤波　算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)

亚像素边缘检测的matlab代码，比一般的边缘检测代码精确(Sub-pixel edge detection matlab code)

指纹识别算法，开源，十分有用，是matlab语言编写的，直接可以用再做修改(about matching，very useful )

多个函数的曲线拟合，里面统计有最小二乘、非线性回归(Curve fitting for multiple functions)

VapourSynth-BM3D-master BM3D算法的原创代码，运行速度超快，参考文献《Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering》(VapourSynth-BM3D-master BM3D original algorithm code, run super-fast, Reference " Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" )