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本代码是使用matlab编写的harr特征的代码，值得大家研究和参考(This code is the use of matlab prepared harr characteristics of the code, it is worth study and reference)

实现了图像的加水印，去噪，加噪声等功能，小波包分析提取振动信号中的特征频率，是机器学习的例程。( Realize image watermarking, de-noising, plus noise and other functions, Wavelet packet analysis to extract vibration signal characteristic frequency, Machine learning routines.)

基于区域方差取大的图像融合算法 代码编写经典(Based on the regional variance max of the image fusion algorithm )

基于蚁群算法的边缘检测,能够准确定位图像的细节和边缘，清晰的再现图像的轮廓(An Ant Colony Optimization Algorithm For Image Edge，could position the edge of image pricisely .)

移频复调制ZOOMFFT能以指定的、足够高的采样频率分析频率轴上任一窄带内信号的频谱结构，在序列变换点数相同的情况下，ZOOMFFT能获得更高的频率分辨率(The frequency shift the complex modulation ZOOMFFT to specified former spectrum of the signal within a narrow band structure, a sufficiently high sampling frequency analysis of the frequency axis, in the case of the same sequence transform points, ZOOMFFT obtain a higher frequency resolution)

说明：  DIP关于各噪声和滤波概述，里面包含PDF和Latex(Dip overview of noise and filtering)

C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

本论文从CT图像重建原理入手, 根据迭代重建的物理意义, 从投影模型出发, 得到投影数据, 然后利用迭代算法MART 及SIRT 重建出断层图像, 再与模型相比较, 从而确定各算法的优劣, 总结出如何选择合适的图像重建算法。(Iterative Algorithms in Computed Tomographic Reconstruction)

WMIL跟踪算法的实现,代码注释全功能强大(WMIL tracking algorithm, code comments all powerful)