Difference between revisions of "Publications/carlinet.15.itip.inc"

From LRDE

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on the MToS (as described in the paper) [https://lrde.epita.fr/~carlinet/thesis/bin/compute_ctos-demo Here].
 
on the MToS (as described in the paper) [https://lrde.epita.fr/~carlinet/thesis/bin/compute_ctos-demo Here].
   
  +
<syntaxhighlight>
<code>
 
 
Usage: ./mumford_shah_on_tree_full input[rgb] α₀ α₁ λ output
 
Usage: ./mumford_shah_on_tree_full input[rgb] α₀ α₁ λ output
 
α₀ Grain filter size before merging trees (0 to disable)
 
α₀ Grain filter size before merging trees (0 to disable)
 
α₁ Grain filter size on the color ToS (0 to disable)
 
α₁ Grain filter size on the color ToS (0 to disable)
 
λ Mumford-shah regularisation weight (e.g. 5000)
 
λ Mumford-shah regularisation weight (e.g. 5000)
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</syntaxhighlight>
</code>
 
   
 
<gallery>
 
<gallery>

Revision as of 16:20, 15 April 2015

Materials

Multivariate Tree of Shapes Computation Binaries

You can download the x86_64 binaries to compute the Multivariate Tree of Shapes Here. This application outputs 16-bits image where each pixel stores the depth of the node it belongs to. To recover the MToS from this image, one just has to compute its max-tree. Note that the image is twice has big has the original one and has a border for topogical and algorithmic purposes. Thus, any pixel with coordinates (x,y) in the original image is now at coordinates (2*(x+1), 2*(y+1)) in the depth image. The application also outputs a 8bits grayscale version of the depth image that can be used to vizualise the shapes by thresholding this image.

Usage: ./compute_ctos-demo [options] input depth16.tiff depth8.png


Mumford-Shah Simplification with the MToS

You can download the x86_64 binaries to compute the Mumford-Shah simplification running on the MToS (as described in the paper) Here.

Usage: ./mumford_shah_on_tree_full input[rgb] α₀ α₁ λ output
α₀	Grain filter size before merging trees (0 to disable)
α₁	Grain filter size on the color ToS (0 to disable)
λ	Mumford-shah regularisation weight (e.g. 5000)