BP net

利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显(Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification effect is more pronounced)

一款操作色谱、光谱图的程序，功能非常全面。包括谱峰的识别、积分，谱的叠加。(An operating chromatographic spectrum program, very comprehensive. Including the identification of the peak spectrum, integral, superposition.)

说明：  光流计算得到运动场。使用算法为Lucas Kanade算法。(optical flow calculated Sports Ground. Lucas uses algorithms to Kanade algorithm.)

基于混沌的图像比特级加密算法（新的置乱和扩散策略）(Image bit level encryption algorithm based on Chaos (New scrambling and diffusion strategy))

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)

C# 界面皮肤

数字图像水印，使用小波变换进行水印的添加和提取。matlab源代码。wm_embed.m嵌入。wm_extract.m提取。(Digital image watermarking, the use of wavelet transform to add and extract the watermark. matlab source code. Embed wm_embed.m. wm_extract.m extraction.)

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)