LMS_NLMS

说明：  图像融合算法，exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(Image fusion algorithm, exercise1: wavelet-based change and the local energy method of image fusion exercise2: adaptive algorithm based on image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)

本程序用于CT医学图像三维重建，使用MATLAB软件实现，简单易学(3d reconstruction usingmatlab)

说明：  QR二维码识别中在对图像预处理后最重要的一步就是要进行定位，QR二维码中有三个位置探测图形，通过扫描其特征便可以进行精细定位，提出了一种新的算法用于筛选候选点。(In QR code recognition, the most important step after image preprocessing is to locate. There are three position detection patterns in QR code, which can be precisely located by scanning its features. A new algorithm is proposed to screen candidate points.)

对于图像进行ANORLD变换，在图像嵌入水印的过程中，可以对要嵌入的水印图像先进性置乱操作，可以有效地抵抗剪切攻击(For images ANORLD transform, watermark embedding in the image of the process, can the watermark image to embed the advanced nature of the scrambling operation, can effectively attack the shear resistance)

WAV音频的LSB信息隐藏，隐藏文件为二值图像，Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)

基于最大流最小割定理的图像分割,里面有一个例子，(Image segmentation based on maximum flow minimum cut theorem)

A control system of the simplex method of PID parameter optimization of MATLAB program, can also

图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)