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lobeseg.wiki
Xiaoxiao Liu edited this page Mar 30, 2015
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svn co https://svn.janelia.org/penglab/projects/vaa3d/trunk/released_plugins/v3d_plugins/lobeseg
- two sides segmentation
- one-side-only segmentation
- open the lobeseg paper download webpage
- about
- lobeseg
- help
Usage: v3d -p <lobeseg_plugin_name> -n lobeseg -i <input_image_file> -o <output_image_file> -par
"#c <channalNo_reference> #A <alpha: image force> #B <beta: length force> #G <gamma: smoothness force> #n <nloop>
#w <local win radius> [#s #p <position> #k <direction> #N <num_of_controls>]"
-i <input_image_file> input 3D image (tif, or Hanchuans RAW or LSM).
-o <output_image_file> output image where the third channel is a mask indicating the regions.
#c <channalNo_reference> the ID of channel for processing (starting from 0). If unspecified, then initialized as 0.
#A <alpha> the alpha coefficient for the image force. Default = 1.0.
#B <beta> the beta coefficient for the length force. Default = 0.5.
#G <gamma> the gamma coefficient for the smoothness force Default = 0.5.
#n <nloop> the number of maximum loops of optimization. If unspecified, then initialized as 500.
#w <local win radius> the radius of local window for center of mass estimation. The real win size is 2*radius+1. The default radius = 20.
[#h] print this message.
[#s] lobe segmentation on one side, -p -k -N parameters is needed.
[#p] set the relative initial position, format X1xY1+X2xY2, e.g. 30x0+100x50, top left is the origin.
[#k] specifiy which direction will be kept, left or right.
[#N] the number of control points.
[#S] output the seperating surface.
e.g. v3d -x liblobeseg_debug.dylib -f lobeseg -i input.tif -o output.tif -p "#s #N 20 #p 30x0+100x30 #k left #S"
Neuron Tracing
Converting Big-Image-Data
Build Vaa3D Qt6 version on Windows
Build Vaa3D Qt6 version on Ubuntu 20.04