The level set technique is used to realize image segmentation. The classical level set segmentation method. The complete code.

Filename	Size	Update
backward_gradient.m	351	2005-10-08
binaryfit.m	787	2005-10-08
BoundMirrorEnsure.m	383	2008-10-22
BoundMirrorExpand.m	316	2008-10-22
BoundMirrorShrink.m	90	2003-12-22
curvature.m	791	2005-10-08
Delta.m	280	2005-10-08
evolution_cv.m	1195	2008-10-28
forward_gradient.m	367	2005-10-08
get_contour.m	711	2004-10-08
Heaviside.m	281	2005-10-08
plotLevelSet.m	337	2005-10-08
sdf2circle.m	588	2005-10-08
signed_distance.m	689	2005-10-08
test.m	1198	2008-10-31
three.bmp	11766	2004-06-09
twocells.bmp	16434	2004-07-23
vessel.bmp	14286	2005-07-25
水平集C-V模型	0	2018-06-08
水平集C-V模型\backward_gradient.m	351	2005-10-08
水平集C-V模型\binaryfit.m	787	2005-10-08
水平集C-V模型\BoundMirrorEnsure.m	383	2008-10-22
水平集C-V模型\BoundMirrorExpand.m	316	2008-10-22
水平集C-V模型\BoundMirrorShrink.m	90	2003-12-22
水平集C-V模型\brain1.bmp	27512	2009-09-07
水平集C-V模型\curvature.m	791	2005-10-08
水平集C-V模型\Delta.m	280	2005-10-08
水平集C-V模型\evolution_cv.m	1195	2008-10-28
水平集C-V模型\forward_gradient.m	367	2005-10-08
水平集C-V模型\get_contour.m	711	2004-10-08
水平集C-V模型\Heaviside.m	281	2005-10-08
水平集C-V模型\plotLevelSet.m	337	2005-10-08
水平集C-V模型\sdf2circle.m	588	2005-10-08
水平集C-V模型\signed_distance.m	689	2005-10-08
水平集C-V模型\test.m	1224	2018-06-11
水平集C-V模型\three.bmp	11766	2004-06-09
水平集C-V模型\twocells.bmp	16434	2004-07-23
水平集C-V模型\vessel.bmp	14286	2005-07-25
水平集C-V模型\主动轮廓模型.m	2513	2018-06-06

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．