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基于地物分类真值的高光谱遥感图像分类精度评价(Accuracy uation of remote sensing image classification)

产生螺旋波面的m文件，拓扑核数是3,相位改变量和高度可以自己调节。内附平面波和球面波的示意图以及产生的图片(generating helical wavefront whose topological number is three)

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)

整个数字水印的程序。包括峰值信躁比的计算，各种攻击后的水印提取等等。(entire digital watermarking process. Including peak impatient than the letter, after the attacks watermark extraction, and so on.)

图像压缩编码，dct变换，量化， Z字形扫描 行程编码(Image compression, dct transform, quantization, Z-shaped scan length encoding)

本文提出了基于二维混沌映射的数字图像水印算法，混沌具有随机性、似噪声及对初始条件的极端敏感性等特点。将经过二维混沌映射置乱后的数字水印信号嵌入图像小波域的低频系数，实现了数字水印的隐蔽性、保密性和稳固性；利用二维混沌映射Arnold变换对水印信号进行置乱，不仅增强了水印信号保密性，同时有效提高了视觉上抵抗图像剪切攻击的能力。(In this paper, two-dimensional chaotic map based on digital image watermarking algorithm, Chaos with random noise and the likelihood of extreme sensitivity to initial conditions and so on. Two-dimensional chaotic map will be scrambling after the digital watermark embedded image signal of the low-frequency coefficients in wavelet domain, the realization of a digital watermark hidden, security and stability the use of two-dimensional chaotic map on Arnold transform scrambling watermark signal, not only enhances the confidentiality of the watermark signal at the same time improve the visual image shear resistance attacks.)

实现图像感兴趣区域的选取，代码完整，可直接调用，具有一定的参考价值(Image of the selected region of interest, code integrity, and can be directly called, has a certain reference value)

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).)

边缘检测与提取，轮廓跟踪 注意事项： 运行时，文件c: est.bmp必须存在(Edge detection and extraction, contour tracing Note: run-time, file c: test.bmp must exist)

说明：  大二课程，用语言编写图像处理操作，运行时仔细体会算法(In the sophomore year, the image processing operation is written in the language, and the algorithm is realized carefully when running)