This is a set of ITK filters that compute the convex hull mask from a binary or label input image, using the quick-hull algorithm. The main usage of this filter is to propose a quick, simple, and parameter free filter to clean object segmentation applied on convex shape object such as cell nucleus.
(Minimum)
Insight ToolKit (ITK) += 5.0
CMake += 3.0
The filter inherit from ImageToImageFilter and take in input an nD binary or labelled image and return the corresponding convex hull. By default, the filter will consider all pixel which is not the background (=0) to compute the convex hull. In the case of a labelled image, it is possible to define the LabeValue to identify a specific label object in the input to process. In this case it is also possible to provide the LabelIndices and/or provide the object region using the filter->GetOutput()->SetRequestedRegion(ObjectRegion) to optimise the computation time. Both indices and region can be computed by the itkLabelGeometryImageFilter from the ITK library.
The filter apply the itkBinaryImageToConvexHullFilter for each label in the input image automatically. It is possible to pass a LabelFilter which provide label id and pixel indices and region for each object to speed up the process. By default, an itkLabelGeometryImageFilter is expected, but not mandatory.
git clone https://github.com/StRigaud/itkConvexHull2D.git
mkdir itkConvexHull2D/build
cd itkConvexHull2D/build
ccmake -DCMAKE_BUILD_TYPE=Release ..
make
make test
All tests should pass sucessfully.
See itkBinaryImageToConvexHullFilterTest and itkBinaryImageToConvexHullFilterTest2 for example on how to use the itkBinaryConvexHullFilter. See itkLabelImageToConvexHullFilterTest for example on how to use the itkLabelImageToConvexHullFilter.
| Input | Output | GroundTruth |
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