检测

压缩感知重构算法去噪方法，以及一系列改进方法(Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods)

fpga实现图象滤波，实时的实现现对输入图象的形态学滤波可直接使用。 (fpga image filtering, real-time implementations currently morphological filtering of the input image can be used directly.)

说明：  利用matlab计算时间序列间的DTW距离(Using MATLAB to calculate DTW distance between time series)

表單驗證 調用為 onBlur=checkform(fname1,fname2,types,value1,value2) 輸入框的驗證 onSubmit subt(this.id) 表單提交時的驗證 兩者需要一起使用 fname1=驗證的項目名 fname2=驗證的副項目名 types=驗證的方式 value1=驗證的值1 value2=驗證的值2 驗證的方式值:(多驗證方式用"|"分割 例: 1|2|3) 0.該值不能為空! 1.您輸入太短了!不能小於value1字符 2.您輸入太多了!不能超過value2字符! 3.你的兩次密碼不一至,請驗證! 4.您的輸入與要求不相符,該輸入只能在value1~value2之間! 5.您輸入的E_mail不正確!請重新輸入! 6.只能為數字 */(calling for the certification form onBlur = checkform (fname1. fname2, types, value1, value2) input box test onSubmit subt (this.id) at the time of submission of the form Taken together need to verify the use of the test fname1 = fname2 = projects were validated by the deputy project were typ es = verifiable means value1 = the value of a certification value2 = 2 certification test the value of values : (multi-authentication "|" segmentation cases : 1 | 2 | 3) 0. The value can not be empty! 1. Your input is too short! value1 not less than two characters. You lose into too many! not more than value2 characters! 3. your password twice to different, Please validation! 4. Your input is not in line with requirements, The importation of only between value1- value2! 5. E_mail you enter )

matlab代码 用改进的八点算法求基础矩阵，进而求本质矩阵及相机外参。(improve eight)

基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)

说明：  几个白平衡程序，都能运行出来，可以用于水下图像偏绿偏蓝现象的颜色调整(Several white balance programs can be run)

说明：  二维emd的MATLAB代码，需要下载rbf工具箱，亲测可用(Two-dimensional EMD MATLAB code, need to download the RBF toolbox, pro-test available)

crimini算法对图形进行修复，您能够充分的利用空间信息，纹理信息(crimini graph algorithm to repair, you can take full advantage of the spatial information, texture information)

SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)