文件名称:Codes
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [C/C++] [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 21.41mb
- 下载次数：
- 0次
- 提 供 者：
- 王*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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程序中有人脸识别，车牌识别，文字识别，细胞边缘检测，Snake算法，不同搜索方法比较等代码。其中车牌识别是VC环境下开发，其他的是Matlab环境下开发。-Procedures are face recognition, license plate recognition, character recognition, cell edge detection, Snake algorithm, a comparison of different search methods code. One license plate recognition is developed under VC++,the rest is developed under the Matlab environment.
相关搜索： snake
车牌识别
face
snake
matlab
codes
for
face
recognition
车牌识别
matlab
文字识别
MATLAB
文字
检测
车牌
杞︾墝璇嗗埆
matlab
snake
车牌识别
face
snake
matlab
codes
for
face
recognition
车牌识别
matlab
文字识别
MATLAB
文字
检测
车牌
杞︾墝璇嗗埆
matlab
snake
(系统自动生成,下载前可以参看下载内容)
下载文件列表
snake算法
.........\gvf snake MATLAB 实现
.........\.....................\examples
.........\.....................\........\balloon_ex.asv
.........\.....................\........\balloon_ex.m
.........\.....................\........\distance_ex.m
.........\.....................\........\gvf_ex.m
.........\.....................\........\tradition_ex.m
.........\.....................\........\WS_FTP.LOG
.........\.....................\images
.........\.....................\......\room.pgm
.........\.....................\......\U64.pgm
.........\.....................\......\WS_FTP.LOG
.........\.....................\papers
.........\.....................\......\cvpr97.ps
.........\.....................\......\tip.ps
.........\.....................\......\WS_FTP.LOG
.........\.....................\README.1st
.........\.....................\README.TXT
.........\.....................\snake
.........\.....................\.....\BoundMirrorEnsure.m
.........\.....................\.....\BoundMirrorExpand.m
.........\.....................\.....\BoundMirrorShrink.m
.........\.....................\.....\Contents.m
.........\.....................\.....\dt.m
.........\.....................\.....\gaussianBlur.asv
.........\.....................\.....\gaussianBlur.m
.........\.....................\.....\gaussianMask.asv
.........\.....................\.....\gaussianMask.m
.........\.....................\.....\GVF.m
.........\.....................\.....\imdisp.m
.........\.....................\.....\rawread.m
.........\.....................\.....\rawwrite.m
.........\.....................\.....\snakedeform.m
.........\.....................\.....\snakedeform2.asv
.........\.....................\.....\snakedeform2.m
.........\.....................\.....\snakedisp.asv
.........\.....................\.....\snakedisp.m
.........\.....................\.....\snakeindex.asv
.........\.....................\.....\snakeindex.m
.........\.....................\.....\snakeinit.m
.........\.....................\.....\snakeinterp.asv
.........\.....................\.....\snakeinterp.m
.........\.....................\.....\snakeinterp1.m
.........\.....................\.....\xconv2.asv
.........\.....................\.....\xconv2.m
.........\snake
.........\.....\Contents.m
.........\.....\dt.m
.........\.....\gaussianBlur.m
.........\.....\gaussianMask.m
.........\.....\GVF.m
.........\.....\imdisp.m
.........\.....\rawread.asv
.........\.....\rawread.m
.........\.....\rawwrite.m
.........\.....\snakedeform.m
.........\.....\snakedeform2.m
.........\.....\snakedisp.m
.........\.....\snakeindex.m
.........\.....\snakeinit.m
.........\.....\snakeinterp.m
.........\.....\snakeinterp1.m
.........\.....\xconv2.m
不同搜索法（最速下降法，共轭梯度法，牛顿法，拟牛顿法）的优缺点
..............................................................\gold.m
..............................................................\gonge.m
..............................................................\hesse.m
..............................................................\newton.m
..............................................................\ninewton.m
..............................................................\tidu.m
..............................................................\zuisu.m
人脸部识别
..........\CreateDatabase.m
..........\EigenfaceCore.m
..........\example.asv
..........\example.m
..........\faces94.zip
..........\Readme.txt
..........\Recognition.m
..........\TestDatabase
..........\............\5.jpg
..........\............\6.jpg
..........\............\7.jpg
..........\............\8.jpg
..........\............\9.jpg
..........\TrainDatabase
..........\.............\14.jpg
..........\.............\15.jpg
..........\.............\16.jpg
.........\gvf snake MATLAB 实现
.........\.....................\examples
.........\.....................\........\balloon_ex.asv
.........\.....................\........\balloon_ex.m
.........\.....................\........\distance_ex.m
.........\.....................\........\gvf_ex.m
.........\.....................\........\tradition_ex.m
.........\.....................\........\WS_FTP.LOG
.........\.....................\images
.........\.....................\......\room.pgm
.........\.....................\......\U64.pgm
.........\.....................\......\WS_FTP.LOG
.........\.....................\papers
.........\.....................\......\cvpr97.ps
.........\.....................\......\tip.ps
.........\.....................\......\WS_FTP.LOG
.........\.....................\README.1st
.........\.....................\README.TXT
.........\.....................\snake
.........\.....................\.....\BoundMirrorEnsure.m
.........\.....................\.....\BoundMirrorExpand.m
.........\.....................\.....\BoundMirrorShrink.m
.........\.....................\.....\Contents.m
.........\.....................\.....\dt.m
.........\.....................\.....\gaussianBlur.asv
.........\.....................\.....\gaussianBlur.m
.........\.....................\.....\gaussianMask.asv
.........\.....................\.....\gaussianMask.m
.........\.....................\.....\GVF.m
.........\.....................\.....\imdisp.m
.........\.....................\.....\rawread.m
.........\.....................\.....\rawwrite.m
.........\.....................\.....\snakedeform.m
.........\.....................\.....\snakedeform2.asv
.........\.....................\.....\snakedeform2.m
.........\.....................\.....\snakedisp.asv
.........\.....................\.....\snakedisp.m
.........\.....................\.....\snakeindex.asv
.........\.....................\.....\snakeindex.m
.........\.....................\.....\snakeinit.m
.........\.....................\.....\snakeinterp.asv
.........\.....................\.....\snakeinterp.m
.........\.....................\.....\snakeinterp1.m
.........\.....................\.....\xconv2.asv
.........\.....................\.....\xconv2.m
.........\snake
.........\.....\Contents.m
.........\.....\dt.m
.........\.....\gaussianBlur.m
.........\.....\gaussianMask.m
.........\.....\GVF.m
.........\.....\imdisp.m
.........\.....\rawread.asv
.........\.....\rawread.m
.........\.....\rawwrite.m
.........\.....\snakedeform.m
.........\.....\snakedeform2.m
.........\.....\snakedisp.m
.........\.....\snakeindex.m
.........\.....\snakeinit.m
.........\.....\snakeinterp.m
.........\.....\snakeinterp1.m
.........\.....\xconv2.m
不同搜索法（最速下降法，共轭梯度法，牛顿法，拟牛顿法）的优缺点
..............................................................\gold.m
..............................................................\gonge.m
..............................................................\hesse.m
..............................................................\newton.m
..............................................................\ninewton.m
..............................................................\tidu.m
..............................................................\zuisu.m
人脸部识别
..........\CreateDatabase.m
..........\EigenfaceCore.m
..........\example.asv
..........\example.m
..........\faces94.zip
..........\Readme.txt
..........\Recognition.m
..........\TestDatabase
..........\............\5.jpg
..........\............\6.jpg
..........\............\7.jpg
..........\............\8.jpg
..........\............\9.jpg
..........\TrainDatabase
..........\.............\14.jpg
..........\.............\15.jpg
..........\.............\16.jpg