RANSAC平面提取

说明：  这是一本关于电子情报雷达信号分析的电子版，主要内容包括电子情报的特征和基础、模拟和数字系统的信噪比考虑、信号功率、极化、波数分析、天线扫描分析、脉内分析、脉冲重复间隔分析、载频分析、脉冲串去交错、确定elint参数的极限以及elint数据文件 (This is an electronic intelligence on the radar signal analysis of the electronic version, the main contents include the characteristics of electronic intelligence and infrastructure, both analog and digital system signal to noise ratio considerations, signal power, polarization, wave-number analysis, antenna scanning analysis, pulse analysis , pulse repetition interval analysis, analysis of carrier frequency, pulse staggered string to determine the limits of the parameters, as well as ELINT ELINT Data Files)

运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型(Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model)

这是一个数字模糊处理的算法论文!很好很经典(Number obfuscation algorithms! Good classic)

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

说明：  进行图像的特征提取，为图像拼接做准备，matlab(Feature extraction of image)

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.)

说明：  对线激光相机标定，使用matlab编程，里面带有数据集，写好的函数。(Calibration of line laser camera, programming with MATLAB)

基于snake模型的图像分割.Matlab 源程序(Snake model based on image segmentation. Matlab source code)

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.)

说明：  代码论文Active Contours Without Edges(code paper Active Contours Without Edges)