APGL

本程序可以实现对图像的中值滤波，从而除去图像中的某些干扰(This procedure can be achieved on the image median filter, thereby removing some of the interference image)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)

图像拼接，利用SIFT算法提取点特征，并进行点匹配，解算单应性矩阵，根据结算出的单应性矩阵对图像进行仿射变换，最后进行拼接，程序中的备注很详细，各位感兴趣的同志可以下载看看。(Image mosaic using SIFT feature point extraction algorithm, and point matching, homography matrix solver, based on the settlement of the homography image affine transformation, and finally stitching, very detailed notes in the program, you sense Interested comrades can be downloaded.)

说明：  《visual C++ 开发经验技术宝典》图像锐化处理，主要是将图像的亮度增加，颜色的鲜艳感增强。("Visual C++ development experience Technical Collection," Image sharpening, mainly to increase the brightness of the image, bright sense of color enhancement. )

说明：  这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准。(The image matching MATLAB code is based on pixel with a good GHI.)

matlab图像处理中中加入椒盐噪声的源代码。(add salt and pepper noise matlab source code.)

图像的中值滤波源码例程程序结合易语言数值计算支持库和图像格式转换支持库，调用正态分布图像处理模块实现图像的中值滤波功能。(Image median filtering routine program combined with easy language source numerical support libraries and image format conversion support library , call the normal image processing module median filtering images.)

Z源逆变器开路三相SVPWM调制，注入了三次谐波分量。(Open-circuit Three-phase SVPWM Modulation of Z-source Inverter)

此代码为运用brovery进行像素层的融合，主要用于图像处理中的图像融合(This code is applied brovery the pixel level fusion, mainly for image processing of image fusion)