FeatureExtractfacerecognation

一个基于形态学图像细化的程序，处理效果挺不错的(Morphological image thinning based on the procedures)

带有完全匹配曾的声波方程正演，从2阶精度到8阶精度可选(Had the acoustic wave equation forward with an exact match, optional 2 order accuracy to 8 order accuracy)

这是一个模式识别中关于主成分分析的特征提取的matlab源码(This is a pattern recognition on the Principal Component Analysis Feature Extraction of Matlab FOSS)

说明：  两种模糊增强和模糊对比度增强的matlab代码，以及4篇参考文献。(Two fuzzy enhancement and fuzzy contrast enhancement of matlab code, and four references.)

我从网上经过搜索和整理得到了大家想要的图像处理类：CImageObject，这个类库中包含了两个完整类：CImageObject类和ImageLoad类，包中也包含有*.h,*.lib,*.dll等相应的文件。相信你一定用得着！它们可以处理BMP、GIF、PCX、TGA、JPG、TIF格式的图像文件。(I am from the Internet after a search and organize by the U.S. want to deal with categories of images: CImageObject, this library contains two types of integrity: CImageObject category and ImageLoad category, the package also contains*. h,*. lib,* . dll, such as the corresponding documentation. Trust that you will certainly need it! They can handle BMP, GIF, PCX, TGA, JPG, TIF format image files.)

利用NSCT对脑CT图像增强的例子 ，代码可编辑，本例为适用于灰度图像(Using NSCT for brain CT image enhancement example, the code can be edited. This example applies to grayscale images.)

运动目标检测一系列文章，包含很多新的算法，可以参考研究一下(Moving target detection range of articles, includes many new algorithms, you can refer to study)

本算法需要两幅或多幅不同偏振角度的有雾图像，应用暗通道算法估计大气光强，最终所得的图像去雾效果较好(Fog fog removal based on polarization information)

利用小波变化实现对不同灰度图像的边缘检测(Changes implemented using wavelet different gray-scale image edge detection)

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)