文件名称:Lazy_Grab_cut
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-01-16
- 文件大小：
- 2.87mb
- 下载次数：
- 0次
- 提 供 者：
- 皮**
- 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！
介绍说明－－下载内容均来自于网络，请自行研究使用
grab_cut,graph gut的进阶版，运用了lazy snapping-There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Lazy_Grab_cut\SegTool\CODE_MAP.pdf
.............\.......\README_COMPILE.txt
.............\.......\README_GUI.txt
.............\.......\SegToolBox\SegToolBox\abdomen.jpg
.............\.......\..........\..........\AutoCut.m
.............\.......\..........\..........\AutoCutRefine.m
.............\.......\..........\..........\AutoCutRefSeg.m
.............\.......\..........\..........\AutoCutSeg.m
.............\.......\..........\..........\bginput.m
.............\.......\..........\..........\block.h
.............\.......\..........\..........\brain.jpg
.............\.......\..........\..........\datain.m
.............\.......\..........\..........\dataout.m
.............\.......\..........\..........\fginput.m
.............\.......\..........\..........\graph.cpp
.............\.......\..........\..........\graph.h
.............\.......\..........\..........\GraphCutSegment.cpp
.............\.......\..........\..........\GraphCutSegment.dll.old
.............\.......\..........\..........\GraphCutSegment.mexw32
.............\.......\..........\..........\GraphCutSegmentLazy.cpp
.............\.......\..........\..........\GraphCutSegmentLazy.dll.old
.............\.......\..........\..........\GraphCutSegmentLazy.mexw32
.............\.......\..........\..........\helper_functions.h
.............\.......\..........\..........\images\abdomen.jpg
.............\.......\..........\..........\......\black_car.png
.............\.......\..........\..........\......\blue_car.png
.............\.......\..........\..........\......\brain.jpg
.............\.......\..........\..........\......\brain_mri.jpg
.............\.......\..........\..........\......\carsten.jpg
.............\.......\..........\..........\......\fish.png
.............\.......\..........\..........\......\flowers.png
.............\.......\..........\..........\......\food.bmp
.............\.......\..........\..........\......\horse.jpg
.............\.......\..........\..........\......\llama.bmp
.............\.......\..........\..........\......\ls.bmp
.............\.......\..........\..........\......\M210186-Multiple_sclerosis_brain_MRI-SPL.jpg
.............\.......\..........\..........\......\man.png
.............\.......\..........\..........\......\Thumbs.db
.............\.......\..........\..........\iter_data.mat
.............\.......\..........\..........\maxflow.cpp
.............\.......\..........\..........\mksopt.m
.............\.......\..........\..........\rectpts.mat
.............\.......\..........\..........\Segment.m
.............\.......\..........\..........\SegmentBoth.m
.............\.......\..........\..........\SegmentGC.m
.............\.......\..........\..........\SegmentRefine.m
.............\.......\..........\..........\SegResult.mat
.............\.......\..........\..........\SegTool.m
.............\.......\..........\..........\SmartSelect.m
.............\.......\..........\..........\SmartSelectSeg.m
.............\.......\..........\..........\Thumbs.db
.............\.......\..........\..........\track.m
.............\.......\Thumbs.db
.............\.......\SegToolBox\SegToolBox\images
.............\.......\..........\SegToolBox
.............\.......\SegToolBox
.............\SegTool
Lazy_Grab_cut