基于OPENCV的模糊程序，能实现重复次的模糊，基础程序

一个用MATLAB开发的GUI程序,程序本身是用来进行图像的灰度变换,但是是学习GUI入门编程的好代码,初学者不妨一读-Using MATLAB development of a GUI program, the program itself is used for images of gray-scale transformation, but to learn GUI programming a good entry-code, one may wish to read for beginners

SHIF 算法的matlab实现,可以用于比较SHIF算法-SHIF Algorithm Implementation of Matlab can be used in the comparison algorithm SHIF

用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法-Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods

模板匹配程序，是图像分析、识别与理解的后期部分，有较详细的注释-Template matching procedure is image analysis, identification and understanding of the latter part of the Notes have more detailed

“visual c++ 实践与提高”一书中的人脸检测源码，很详细，值得参考

Non-decimated wavelet transform, redundant wavelet transform, stationary ％ wavelet transform-Non-decimated wavelet transform, redundant wavelet transform, stationary wavelet transform

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.

基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel.

很好的进行了图像轮廓和边界的分析 ，绝对正确。-Very good for the image contours and boundaries of the analysis, absolutely correct.

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.