很不错的小波神经网络人脸检测源码，与大家分享

本程序主要实现的是半自动的基于特征图像配准，在程序中，需要手工选取特征点，程序将自动寻找到相匹配的特征点，然后自动计算仿射变换参数，并将两幅图像进行拼接，合成一副图像-This procedure is mainly to achieve semi-automatic feature-based image registration, in the process, the need to manually select the feature points, the program will automatically find the matching feature points, and then automatically calculates the affine transformation parameters, and splicing two images , Synthesis of an Image

该文件包括四个图像的预处理程序，分别为图像的卷积运算、生成浮雕、粒化图像及扩散图像。对图像初学者有帮助。-including 4 of the document image preprocessing procedures for the image convolution operation, production of arms tablets of the proliferation of images and image. Image beginners to help.

图像旋转的c++程序,该程序是我从其他网站看到的，觉得对学习图形图像的人，应该有所帮助-image rotation c procedures, the procedures are taken from other sites to see, study and think of graphic images, should help

针对平面内不相交的点或圆，根据三角剖分的原理，生成VORONOI图-For the plane does not intersect the point or circle, in accordance with the principles of triangulation to generate VORONOI map

基于pca降维的特征不变特性变换方法（sift），希望对研究特征提取的朋友有帮助！-PCA dimensionality reduction based on the characteristics of the same characteristics of transformation method (sift), hope that the study of feature extraction has to help a friend!

这是智能剪刀的一个改进方案，很值得学习的-This is a smart pair of scissors to improve the program, it is worth learning

基于神经网络的识别程序，程序采用三层BP网络训练，采用了普通定义中加入动量因子的训练法，精确度很高。-based on neural network identification procedures, procedures adopted a three-tier network training BP, with its definition of momentum into the training factor, a high degree of precision.

BlurTemplate.m为模糊模板函数子程序 DIPexp2.m为用逆滤波和维纳滤波进行恢复的源程序-Template function for the fuzzy BlurTemplate.m Subroutine DIPexp2.m using inverse filtering and Wiener filtering for the restoration of the source

图像处理初步，包括线性变换，几何变换，边缘检测-Preliminary image processing, including linear transformations, geometric transformations, edge detection

对图像分割进行研究,是图像处理的一个重要问题。Level Set 方法是一处描述曲线以曲率相 关的速度演化的有力工具。本文研究了水平集曲线的演化方法,对水平集方法的原理进行了比较详细的阐 述,并将其应用于图分割。-　The study of image segmentation is an important problemfor image processing ,Level set methodis an effective tool for describing the curve with curvature2related speed evolvement . this paper studies the method of evolvement for the level set curve and expatiates on the principle of the level set method in detail . In this paper ,the level set method is applied in segmentation of image.