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[Graph Recognize] Md5Code DL : 0: C编写，实现字符串摘要、文件摘要两个功能。里面主要包含3个文件: Md5.cpp、Md5.h、Main.cpp。其中Md5.cpp是算法的代码，里的代码大多是从 rfc-1321 里copy过来的；Main.cpp是主程序。 -C to prepare, to achieve string summary document containing a summary of the two functions. 3 inside the main document contains: Md5.cpp, Md5.h, Main.cpp. Md5.cpp which is the algorithm code, in most of the code is in rfc-1321 from the copy back Main.cpp is the main program.
Date : 2025-12-16 Size : 87kb User : wang
[Graph Recognize] cardrecognition DL : 0: 车牌定位使用说明使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。 -This file contains a summary of what you will find in each of the files that make up your TypeRec application. TypeRec.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. TypeRec.h This is the main header file for the application. It includes other project specific headers (including Resource.h) and declares the CTypeRecApp application class. TypeRec.cpp This is the main application source file that contains the application class CTypeRecApp. TypeRec.rc This is a listing of all of the Microsoft Windows resources that the program uses. It includes the icons, bitmaps, and cursors that are stored in the RES subdirectory. This file can be directly edited in Microsoft Visual C++. TypeRec.clw This file contains information used by ClassWizard to
Date : 2025-12-16 Size : 1.34mb User : 张青
[Graph Recognize] eyesegmentation DL : 0: 程序可实现人眼虹膜、眼睑及睫毛分割，主要功能有：（1）虹膜内外圆的霍夫圆检测；（2）眼睑检测以及参数方程的求解；（3）睫毛的最优化阈值处理。 vc文件夹下包含以下四个内容：（1）最后编译生成的.exe文件；（2）包含主要算法的.h头文件；（3）两幅原始图像（yangjing1.bmp,yanjing2.bmp）；（4）两幅经过MATLAB进行自适应直方图均衡化的图像（yanjing11.bmp,yanjing22.bmp）-Program can achieve human iris, eyelids and eyelashes segmentation, the main features are: (1) iris inside and outside the circle Hough circle detection (2) eyelid detection and parameter equation (3) the optimal threshold eyelash treatment. vc folder contains the following four elements: (1) generated by the final compilation. exe files (2) contains the main algorithm. h header files (3) the two original image (yangjing1.bmp, yanjing2.bmp) (4) After two MATLAB adaptive histogram equalization image (yanjing11.bmp, yanjing22.bmp)
Date : 2025-12-16 Size : 151kb User : 郭卉