eg2

matlab程序，利用主元分析、T2统计图和贡献率图方法对数据进行故障检测和诊断，贡献率图是变量对失控得分进行贡献率计算(matlab program, using principal component analysis, T2 charts and maps of the contribution rate of the data for fault detection and diagnosis, the contribution rate of the variable on the map is out of control scores calculated contribution rate)

自动匹配下拉列表框中的内容,根据所选下拉列表框的不同去加载不同的名片(Automatic matching of the drop-down list box in the content, according to the selected drop-down list box is different to load a different card )

SAR杂波统计建模方面的源程序，不仅可以能为SAR图像去噪工作提供数据源，更是研究SAR图像分割方面的很好的工具。(SAR clutter statistical modeling of the source, not only for SAR image denoising can provide the data source, but also aspects of SAR image segmentation a good tool.)

k均值聚类分析。K-means clustering analysis(K-means clustering analysis)

用opencv实现对一幅图像的小波变换 opencv 图像二维小波变换(The wavelet transform of an image with opencv)

图像拟合圆并标记圆心坐标，有需要的同志可以参考(The image is fitted to the circle and the center coordinates are marked)

SURF算法较SIFT算法速度快，SURF算法源代码。(SURF code)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

说明：  利用稀疏表示 omp k-svd训练字典的方法，实现了图像去噪(The sparse representation of OMP k-svd training dictionary is used to realize Image Denoising)

这个是我自己编写和修改的圆特征检测的程序，能同时求取多个圆的圆心和半径信息。并且文件中有测试图片，直接运行就可以出结果。(The files can detect multi circles in one image at the same time，circle center and R information can be obtained.)