Comments (5)
If you provide the full image and seeds, I could check it. Alternatively, you could crop your image just to the heart region, because your initialization is only provided there. Cropped images are much smaller. Also please enable compression when saving them.
The initialization you provide should work, at least to some degree. Did you forget to call filter->Update();
?
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@dzenanz, I have uploaded my data in github, and it also included my code. I do not forget to call filter->Update()
.
Have ITK implement the geodesic segmentation method? Github provide a GeodisTK, and I have tried it, the result is good:
The more clear original image is:
But it cost about 40s in my computer. Hope ITK can implement it and speed it up.
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Thanks for reporting this. PR #9 fixes this for me. Can you confirm?
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@dzenanz Yes, the segmentation result is OK. In addition, as mentioned by @lassoan:
In Slicer, we significantly improved speed, robustness, memory usage and added a very important feature: masking (so that you can restrict segmentation with a binary mask), and an occasionally useful feature: seed locality (adding a distance penalty term to make segmentation results more consistent in images that contain very-low-noise regions).
The Slicer
has an feature: seed locality:
But this ITK module do not include this feature. Could you please implement this feature in ITK module?
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Could you please implement this feature in ITK module?
Yes, I plan to (see #3) sometime this month.
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Related Issues (11)
- COMP: Many compiler warnings HOT 1
- Can not find Generating test/GrowCutHeaderTest1.cxx HOT 2
- How to build ITKGrowCut? HOT 5
- Need to recompute the distances when distance penalty is changed
- How to accelerate ITKGrowCut HOT 6
- Update to `ITKRemoteModuleBuildTestPackageAction` reusable CI workflow
- Update the code to mirror the one in Slicer HOT 9
- how to use ITKGrowCut HOT 2
- Can not successfully build ITKGrowCut HOT 1
- How to provide background seed point for ITKGrowCut? HOT 1
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