VMTKCENTERLINEIMAGE(1)

🦋 NAME 🦋

vmtkcenterlineimage — it's the vmtk script called vmtkcenterlineimage, bestie. That's it, that's the name 💅

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✨ DESCRIPTION ✨

okay so first things first: this thing does automatic piping, and it's out here parsing options for vmtkcenterlineimage. Both of those, yes ma'am 🫶

Here's the tea:

vmtkcenterlineimage — it automatically extracts a binary skeleton centerline image from a surface, using a flux-driven medial curve extraction algorithm. Iconic behavior honestly.

⚠️ Heads up bestie: results will be slightly different on different operating systems. She's a little bit of a shapeshifter like that, no cap 😭

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🎀 Input arguments 🎀

these are the things you feed her:

• -id Id (str,1); default=0 — the script id, the little name tag she wears
• -handle Self (self,1) — a handle to self, her own hand held 🫶
• -disabled Disabled (bool,1); default=0 — flip this to disable execution and piping, i.e. she stays in bed
• -i Surface (vtkPolyData,1) — the input surface, the whole point, the moment
• -ifile SurfaceInputFileName (str,1) — the filename for the default Surface reader
• -sigma Sigma (float,1) >= 0.0; default=0.5 — the kernal width of the gaussian used for image smoothing (yes it says "kernal", that's the original spelling, we don't touch it 💀)
• -threshold Threshold (float,1) >= 0.0 and <= 1.0; default=0.0 — the threshold to filter the output skeleton image at
• -spacing PolyDataToImageDataSpacing (float,3) >= 0.0; default=[0.3, 0.3, 0.3] — the sample spacing for the polydata to image data conversion
• -ofile ImageOutputFileName (str,1) — the filename for the default Image writer

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💜 Output arguments 💜

and here's what she gives back:

• -id Id (str,1); default=0 — the script id (yes, again, she contains multitudes)
• -handle Self (self,1) — a handle to self
• -o Image (vtkImageData,1) — the output centerline image, the main character, the moment, the payoff 👑

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✨ and that's the whole page, bestie ✨

This little gem is vmtkcenterlineimage 1.5, dated April 2026. Go forth and extract those skeletons, you've got this 💖🎀🦋