ZhifangtuJunheng

说明：  图像修复算法 使用criminisi算法对破损图像进行修复。(The image restoration algorithm uses criminisi algorithm to repair the damaged image.)

VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)

说明：  基于matlab的快速非局部均值去噪的源程序(Source program of fast nonlocal mean denoising based on MATLAB)

加权核范数最小化应用于图像处理的代码，很实用，且是图像处理领域很新的方法源码，所以该方法效果很好，希望对大家有用。(Nuclear weighted norm minimization codes used in image processing, it is useful, and it is a new image processing method for the source, so that this method works well, want to be useful.)

直方图均衡、小波增强、contourlet变换用作图像增强(Histogram equalization and wavelet enhancement, contourlet transform is used for image enhancement )

修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法：分别依据灰度值，种子点位置，交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )

这是一个应用VC++编写的基于摄像头读取人脸的人脸识别和人脸检测软件，其中引用了MATLAB的系统函数，是一个非常不错的人脸识别软件，这个系统在我校论文答辩审核中获得了优秀的成绩。希望对大家有用(This is an application-based VC prepared to read camera Face to Face Recognition and face detection software. cited in the MATLAB system function, is a very good face recognition software. The system in my school examination papers reply obtained outstanding achievements. We hope to useful)

FISM——结构相似度，它的功能为评价图像去噪效果，值越接近1，去噪结果越好。(FISM-- structural similarity, it functions is for the evaluation of image denoising effect, closer the value is to 1, better is the denoising results.)

多种不同的图像滤波Matlab源码，包括威纳滤波、小波滤波、贝叶斯滤波、LEE滤波、frost滤波、kuan滤波等。(A variety of different image filter Matlab source, including wei, filter, wavelet filter, bayesian filtering, LEE filtering, frost filtering, kuan filtering, etc. )

用DHNN （离散Hopfield网络）存储6幅图像作为联想记忆信息，然后对图像进行加噪处理，用所设计的DHNN进行图像复原，给出结果。(Storing DHNN (discrete Hopfield network) six images as associative memory information, and then add noise to the image processing, image restoration designed with DHNN, shows the results.)