SuperResolution

织物疵点检测和识别系统.采用2中方法，有gui界面，支持实际纺织物的检测(Fabric defect detection and identification systems. Using 2 methods, gui interface, support for the detection of the actual textile)

锥束CT（CBCT）的三维重构算法（FDK）(the FDK algorithm for cone beam CT reconstruction)

说明：  自适应阈值的图像分割及文字提取技术，matlab，对学习基本原理有帮助(Adaptive threshold for image segmentation and text extraction technology, matlab, the basic principles of learning will help)

WPF控件集

介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)

将RGB彩色空间转换到HSI彩色空间，HSI彩色空间更接近人眼对彩色的认知。(The RGB color space conversion to the HSI color space, HSI color space is closer to the human eye color perception.)

说明：  基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)

说明：  血管骨架提取文件。冠脉血管树重建冠状动脉造影图像的三维重建是一个复杂的过程 主要包括血管骨架提取与表达、血管段匹配、骨架点匹配、三维骨架重建、表面重建等步骤。(Extraction file of vascular skeleton. Three dimensional reconstruction of coronary angiography image is a complex process, which mainly includes the extraction and expression of vascular skeleton, vascular segment matching, skeleton point matching, 3D skeleton reconstruction, surface reconstruction and so on.)

极化SAR图像处理中，将协方差矩阵转换为STOKES矩阵或Mueller矩阵的程序(Polarization SAR image processing, the covariance matrix will be converted to matrix or Mueller matrix STOKES procedures)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)