OCR

三种基于GraphCut的图像分割方法，分别是GrabCut，LazySnapping和改进的GrabCut，其中用到了matlab和VC++的混合编程，在调用之前需生成mex文件(Three kinds of image segmentation method based on GraphCut, respectively GrabCut, LazySnapping and improved GrabCut, which used the matlab and VC++ mixed programming, before calling the mex file to be generated)

对图像进行模糊处理前的第一步设计操作，然后进行加强滤波处理(Fuzzy image processing operation prior to the first step in the design and then proceed to strengthen the filter processing)

利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)

数字图像处理，K-SVD字典学习方法，信号的稀疏与冗余表示理论，图像压缩，图像去噪(Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising)

基于小波变换的图像去噪处理，通过学习小波变换的方法实现对图像的去噪处理，达到所预期的效果(Image denoising based on wavelet transform, realize image denoising by wavelet transform learning method, to achieve the desired effect)

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

说明：  简单的介绍了基于matlab的QR码的识别，包括图像的预处理，图像定位，图像的识别等(This paper briefly introduces the recognition of QR code based on matlab, including image preprocessing, image positioning, image recognition and so on.)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形形是否相交,使用启发式算法提高效率， (Convex polygon nesting, polygon NFP to determine whether two convex polygon-shaped intersection, the use of heuristic algorithms to improve efficiency,)

找出sift关键点，形成特征向量，再进行描述(find the sift keywords,formed descreptors)

contourlet对LENA512灰度图的LP,DEF分解与系数重构代码,经过调试.(Contourlet LENA512 grayscale of the LP, DEF coefficient decomposition and reconstruction of the code after debugging.)