LucasKanade

[MATLAB] 安捷伦示波器波形离线FFT分析谐波含量 在现场用示波器记录波形，保存为CSV文件，可以使用本程序进行离线分析。 直流量，交流量，偏移量，谐波次数都可以完美分析。 内含帮助文件，适合MATLAB2009以上([MATLAB] Agilent oscillograph waveform offline FFT analysis of harmonic content Oscillograph waveform is recorded on the scene and saved as CSV file. This program can be used for off-line analysis. Direct flow, AC quantity, offset and harmonic number can be perfectly analyzed. Contain help files, suitable for more than MATLAB2009)

说明：  基于OpenCV的MPEG-7特征提取，c++代码(MPEG-7 feature extraction based on OpenCV)

FIR滤波器的C语言实现 C语言源程序代码及解析(FIR filter, the C language realization C source code and analytical)

主要功能时串口调试，附带的C#自带画图以及MATLAB画图可供参考，根据实际需求更改源码。注意：使用MATLAB画图需要安装运行环境。

相机的单目标定，使用张正友标定法，可靠使用(The monocular camera calibration, using the zhangzhengyou calibration method, reliable use)

基本实现bm3d算法，并且附有测试图片，希望对大家有所帮助(The basic implementation of bm3d algorithm, with the test picture attached, hope to help you.)

基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 (Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included)

说明：  基于引导滤波的图像信息分层算法，可实现高低频信息分离，分段处理功能(The image information hierarchical algorithm based on guided filtering can realize the separation of high and low frequency information and the segmentation processing function.)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

This program draws an image from a bmp file