open_hdf5_event

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

采用harris角点特征完成图像拼接，包含特征点的选取以及最终拼接后的结果输出(Harris corner feature complete image stitching, contains the feature points selected and the resulting output after final stitching)

说明：  自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵(I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy)

基于混沌的序列的对数字图像进行的魔方加密变换，介绍了非线性动力学系统的logistic映射形成的混沌序列的方法 。(Based on chaotic sequence of digital images of the Rubik)

C#实现了数字图像处理中的几个边缘检测的算法源代码。(C# implementation of digital image processing edge detection algorithm source code.)

KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。(KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install OpenCV.)

说明：  基于matlab实现对将视频以帧为单位截取为图片，用背景差分法进行比对，实现对运动目标的检测。含代码，运算结果。(Based on MATLAB, the video is captured as a picture by frame, and compared with the background difference method to achieve the detection of moving objects. Including code and operation result.)

说明：  用matlab实现汽车牌照识别系统的定位算法(Automobile License Plate Recognition System Location Algorithm)

极化SAR图像处理中 相干目标的 KROGAGER分解程序(Polarization SAR image processing in coherent goal decomposition process KROGAGER)

基于混沌的图像比特级加密算法（新的置乱和扩散策略）(Image bit level encryption algorithm based on Chaos (New scrambling and diffusion strategy))