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051907210649363

于 2020-04-11 发布
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下载积分: 1 下载次数: 2

代码说明:

说明:  织物疵点检测,有GUI界面,可自动识别疵点并分类(Fabric defect detection, GUI interface, automatic defect identification and classification)

文件列表:

基于Matlab的织物疵点检测和识别系统\1.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\10.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\11.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\12.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\13.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\15.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\2.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\3.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\4.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\5.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\6.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\7.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\8.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\9.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\BPGui.fig, 12207 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\BPGui.m, 16063 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\cdshibie.m, 252 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\Fabric.mdb, 262144 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\FabricGui.fig, 17455 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\FabricGui.m, 32989 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\fangchacaiyang.m, 475 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\junzhicaiyang.m, 515 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\LinkDB.m, 3247 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\netname.mat, 4732 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\Otsu.m, 1060 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\Thumbs.db, 53248 , 2013-01-15
基于Matlab的织物疵点检测和识别系统\untitled.fig, 10316 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\untitled.m, 5751 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\获得标准参数图像\1.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\获得标准参数图像\2.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\获得标准参数图像\3.bmp, 66358 , 2011-06-10
基于Matlab的织物疵点检测和识别系统\获得标准参数图像\Thumbs.db, 15872 , 2013-01-15
基于Matlab的织物疵点检测和识别系统\获得标准参数图像, 0 , 2012-09-02
基于Matlab的织物疵点检测和识别系统, 0 , 2013-05-19

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    2010-03-26 13:43:32下载
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    2018-03-07 16:17:04下载
    积分:1
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    修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法:分别依据灰度值,种子点位置,交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )
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