sfm_chanvese_demo

说明：  几种图像融合评价指标，AG,EN,FMI,MI,Qab,Qw,SF,SSIM，即平均梯度AG、信息熵EN、特征互信息FMI、互信息MI、边缘信息保持量Qab、加权融合质量评价因子Qw、空间频率SF和相似性指数SSIM。能较好的描述图像融合结果，稳定性较好。(Several evaluation indexes of image fusion, Ag, en, FMI, MI, qAB, QW, SF, SSIM, namely average gradient AG, information entropy En, feature mutual information FMI, mutual information MI, edge information retention qAB, weighted fusion quality evaluation factor QW, spatial frequency SF and similarity index SSIM. It can describe the result of image fusion well and has good stability.)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

用C语言实现最优化算法中的黄金分割法！！(optimization algorithm using c)

说明：  次文件夹包含两个程序，可以对振动信号进行包络分析，适合信号处理入门的朋友(do envelope analysis on vibration signal)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

一种改进后的海森矩阵算法代码，针对医学图像处理效果比较好，可以识别较细的血管。(An improved Hessian matrix algorithm code, medical image processing effects for better, you can identify smaller vessels.)

利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)

说明：  利用97小波变换进行图像压缩，用matlab仿真，实验证明它具有较高的压缩比(using wavelet transform image compression using Matlab simulation experiment to prove that it has a higher compression ratio)

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.)

使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。(particle filter object tracking)