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

From LRDE

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=== Multivariate Tree of Shapes Computation Binaries ===
 
=== Multivariate Tree of Shapes Computation Binaries ===
   
You can download the x86_64 binaries to compute the Multivariate Tree of Shapes [https://lrde.epita.fr/~carlinet/bin/compute_ctos-demo Here]. This application outputs 16-bits
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You can download the x86_64 binaries to compute the Multivariate Tree of Shapes [https://lrde.epita.fr/~carlinet/thesis/bin/compute_ctos-demo Here]. This application outputs 16-bits
 
image where each pixel stores the depth of the node it belongs to. To recover the MToS from
 
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
 
this image, one just has to compute its max-tree. Note that the image is twice has big has the original

Revision as of 15:46, 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