Feature Selection
Algorithms that improve segmentation based on topological criteria.
- BorderKill: Removes the objects connected to the borders of a segmented image.
- RemoveSmallSpots: Removes the smallest objects of a binary image.
- ObjectBoundaries: Extracts the boundary points of objects from a segmented image.
- BinarySmoothing2d: Transforms a binary two-dimensional image into another binary image with respect to the real local mean of each pixel neighborhood.
- BinarySmoothing3d: Transforms a binary three-dimensional image into another binary image with respect to the real local mean of each voxel neighborhood.
- LabelInterfaces: Generates a binary image containing points having a minimum number of different neighbors in a label input image.
The Feature Selection group contains algorithms helpful to improve a segmentation by retaining some pixels
in respect with their topological properties like:
- Their connectivity to image borders
- Size of the objects they are belonging to
- Local configuration around their neighborhood