MotionEstimation

本方法的种子点选取采用Harris角点法，阈值则通过云模型获得，对lena图像进行了较好的分割(The method selected seed points using Harris corner point method, the threshold is obtained through the cloud model, for better lena image segmentation)

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感(Matching based on neighborhood difference feature)

说明：  ＬＢＭ三维渗流计算，可以导出流场图和无量纲渗流系数(The flow field diagram and dimensionless seepage coefficient can be derived by LBM three-dimensional seepage calculation)

一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构(Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image)

可逆数字水印算法 Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction #IEEE_J_CASVT#, (Reversible watermarking Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction#IEEE_J_CASVT#, 2009, 19, 989-999 )

C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)

灰度图像的属性计算：利用bwlabel和regionprops函数对度量二值图像中目标对象的属性。(Attribute gray image: Using bwlabel and regionprops function measure binary image of the target object attributes.)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Program code description P0401: Detects the edge of an image with the Prewitt operator P0402: LoG operator with different σ values is used to detect the edge of the image P0403: Detects the edge of an image with the Canny operator P0404: Threshold segmentation of the image P0405: Image segmentation using watermark threshold method P0406: Quadtree decomposition of the matrix P0407: The image is divided into text and non-text of the two categories P0408: Morphological gradient detects the edge of a binary image P0409: Morphology Example- Deletes all current lines the PCB image, leaving only the chip object)

说明：  基于高光谱数据集PaviaU的数据降维与分类,基于核函数的主成分分析kpca测试(Dimension reduction and classification based on hyperspectral data set paviau, KPCA test based on kernel function principal component analysis)