huofuman

说明：  用水平集方法进行细胞图像的分割大家可以看看写的有点简单(level set method using cell image segmentation we can see a little bit simpler to write)

Face recognition system based on Eigenface, written in Matlab, including the paper which has present the structure and each component in detail. Hope it will be useful!

对交通车辆 进行检测通过matlab 设计仿真、包过开运算 闭运算、(Vehicle detection for traffic simulation by matlab design, including closing operation over open operation,)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

C++，人脸变形，选择图片，在图片中选择一个四边形窗口（人物脸部），然后再在内部选择一个四边形窗口，逆时针选择，然后点击变形直接呈现变形结果，点击动画可以查看人脸变形过程(C++ program, select a picture, choose a quadrilateral window (human faces) in the picture, and then select a quadrilateral inside the window, counter-clockwise to select, then click on the deformation presented directly deformation results, click animated facial deformation process can be viewed)

先运用仿射变换粗配准，再运用active-demons算法进行精细配准(First use of affine transform the coarse registration, and then use active-demons algorithm for fine registration)

给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)

基于互信息的分层金字塔的图像配准算法，互信息的加入让信息更丰富，精度更高(Image registration algorithm based on hierarchical pyramid of mutual information, mutual information is added to make information more abundant and higher precision)

说明：  用于基本的envi熟悉认知，步骤清晰，亲历亲为，切实可用(It is used for basic envi, familiar with cognition, clear steps, personal experience and practical use)