Description: 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.
File list (Check if you may need any files):
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