GoogleEarthEngine

说明：  为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. (In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges.)

实例如图所示

说明：  解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

计算三维数据的法矢量并进行调整，里面包括了自己做的实验数据和结果(Three-dimensional data, vector calculation method and make adjustments, which includes the make their own experimental data and results)

说明：  利用matlab对图像进行双线性插值处理，具有良好的实现效果，亲测亲试。(Using matlab to process the image by bilinear interpolation, it has a good effect to realize the pro-test.)

用MATLAB对两幅图片进行图像匹配,程序运用了两种匹配算法:1.sad算法2.ssad算法3.的采用界面输入输出方式.(MATLAB to two picture image matching, and the program using the two matching algorithms: 1. Sad algorithm 2.Ssad algorithm of the input and output interface mode.input/output mode.)

说明：  图像滤波，中值滤波，自适应，对比结果，医学图像使用(Image filtering, median filtering, adaptive, comparative results, medical image use)

MRF程序：建立了马尔科夫随机场 应用于图像去噪 不过此程序有待进一步调试(MRF procedure used in image denoising)