GUI_Matting

bmp图像边缘检测，vc界面，很好用，适合初学者学习(bmp image edge detection, vc interface, useful for beginners to learn)

SVT 低秩矩阵恢复，可用于稀疏表示、图像恢复(SVT for low rank matrix completion)

说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

低秩学习，rpca，适用于图像去噪，视频跟踪。(low rank learning,rpca,image denoise.Image tracking)

jquery.easing.js 1.3 是一个配合jquery实现完美动画效果的扩展插件，比如我们在使用jquery制作一幅图片滚动或图片渐变，使用本插件可扩展或增强jquery性能，生成完美无缺兼容性更好的jquery动画来，它不仅可以用于图像特效，像一些基础的层操作也可以使用。(jquery.easing.js 1.3 is a perfect fit jquery animated extensions, such as we use jquery make a picture or a picture scroll gradient, using this plugin jquery enhanced scalability or performance, generate flawless compatibility and better jquery animation, which not only can be used for image effects, like some basic layer operations can also be used.)

图像自适应阈值分割，基于直方图的图像阈值分割(Image adaptive threshold segmentation)

说明：  左右圆偏振光的推导公式，与处理结果。传统意义上根据界面曲率的不同，对于确定的透镜，其正极性或负极性是确定了的。但根据等离子体天线方向角的改变，透镜的部分极性也随之改变，换言之，同一透镜中正负极性均存在且可控制。(Derivation formula and processing results of left and right circularly polarized light)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

此程序是无损检测中匹配追踪算法的源代码，有很好的去噪效果.(This program is a non-destructive testing in the matching pursuit algorithm source code, there is a good de-noising effect.)

灰度共生矩阵和灰度梯度共生矩阵纹理提取，能够计算纹理的多个测度(Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix texture extraction)