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关于数字图像一些典型隐写的隐写分析。隐写、分析和提取的讲解(Steganalysis of Some Typical Steganography in Digital Images)

说明：  基于相位一致性的边缘检测，可使用该函数获取频谱图像的边缘(Edge detection based on phase consistency)

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

读入多组点云数据，全局配准，得到经过配准矫正后的图像数据 文件格式：*.PLY(Read multiple point cloud data, global registration, the registration to be corrected after the image data file formats:*. PLY)

K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)

由点云数据（point cloud）生成网格（mesh）的matlab实现(Converts a pointcloud (unordered vertices) to a mesh of triangles by connecting the nearest 3 points and calculates the normal of each vertex and triangle. Also finds the neighboring triangles of each vertex and the neighboring triangles of each triangle. )

说明：  图像特征提取的四种算法，花了很大的力气才弄来的！和大家分享！(Four types of image feature extraction algorithm, to spend a great deal of effort to get the! To share with you all!)

适用于高光谱图像目标检测的端元提取，该方法效果好(HYPERICAEEA Performs the ICA-Endmember Extraction Algorithm HyperIcaEea performs the ICA-EEA algorithm to generate abundance maps and find pure pixels. This function utilizes FastICA.)

说明：  经典的Tarel去雾算法，可用于图像去雾的指标性能对比。(It is the classical dehazing algorithm, and it is can be used comparison with other algorithms.)

说明：  基于Haar+AdaBoost+bdd100k数据集做车辆识别(Vehicle recognition based on Haar + AdaBoost + bdd100k dataset)