P0804

说明：  生成手写数字图片，一共提供了三种算法，example_1和example_2训练GAN来生成手写数字图片，搭建了一个简单的GAN的网络结构，example_3难度较大(There are three algorithms to generate handwritten digital pictures. Example_1 and example_2 train GAN to generate handwritten digital pictures, and build a simple network structure of GAN. Example_3 is more difficult.)

功能介绍：    该系统基本包含一般处理SQL的命令,其中使用了 Linq To Sql技术,强数据类型的DataAdapter,还有通过了一般连接Sql的连接,在必要的时候通过"SQL的存储过程",降低了通过普通方式代码的冗余度.对于动态绑定数据,本人还是只是使用了linq绑定.在校验方面,多是使用正则表达式.在一次性频繁处理数据库的更新操作的时候,偶尔使用多线程,自定义传递参数的类,来给多线程传递参数.该系统适合初学者,希望能给大家帮助...谢谢...菜单功能：     基本信息管理  人事管理 备忘记录 数据库维护 管理工具 系统管理

功能：应用Rudin-Osher-Fatemi模型进行图像去噪，在ROFtest.m 中输入图像，附带文档ROFscheme内容为此模型的数值分析过程，比较详细，适合初学者(Classic 􏰉 Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners)

图像细化处理的C代码，效果较好，对初学者有较好的参考作用(Image processing of C code, the effect is good, is good for beginners reference)

理解频域处理与空间域处理的等效关系与步骤，掌握频域相乘与空间域循环卷积之间的对等关系，理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and space domain circular convolution, and understand the effect of zero padding in DFT operation.)

基于最小矩方判断灰度重心法计算光心位置的像素点，并输出结果。(Analyzing calculate pixel gray scale optical center position the center of gravity method, and the output torque based on the minimum square.)

Tae Hoon Kim教授的Nonparametric Higher-Order Learning for Interactive Segmentation源码(Tae Hoon Kim, Professor Nonparametric Higher-Order Learning for Interactive Segmentation)

FDK重建算法，是CT三维重建的解析方法，是近似重建(FDK reconstruction algorithm, which is a CT three dimensional reconstruction analysis method, is the approximate reconstruction )

说明：  基于MODIS 大气水汽的计算，大气水汽含量(Atmospheric Water Vapor Calculation Based on MODIS)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)