Computational_Fourie

用MATLAB实现的边缘提取函数，实现了sobel算子、canny算子，Robert算子、prewitt算子、marr算子(Using MATLAB to achieve the edge detection function, the realization of the sobel operator, canny operator, Robert operator, prewitt operator, marr Operator)

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)

对局部放电进行小波变换模式识别，解决放电破坏设备问题(Wavelet Transform Pattern Recognition for Partial Discharge)

matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI(matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M)

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.)

说明：  基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。(Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)

图标生成器可以将易支持的图像格式文件转换成需要的图标，并能进行图标背景透明等编辑。(Icon generator can be easily supported image format files converted to the desired icon , and can carry out other editing icon background transparent .)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

harris算子寻找角点，并实现配准。附试验材料。(harris corner operator to find and to achieve registration. Test materials attached.)

radon算法opencv实现，能够很好的实现图像的水平旋转矫正。( implementing the radon by opencv.)