Package net.preibisch.mvrecon.imglib2.st.render

Interface IntegratingNeighborSearch<T>

All Superinterfaces:
net.imglib2.EuclideanSpace
All Known Implementing Classes:
FilteredMaxDistanceSearchOnKDTree
public interface IntegratingNeighborSearch<T> extends net.imglib2.EuclideanSpace
Integrating Nearest-neighbor search in an Euclidean space. The interface describes implementations that perform the search for a specified value and provide access to that value.
Author:
Stephan Preibisch

  • Method Details

    • search

      void search(net.imglib2.RealLocalizable reference)
      Perform intgrating-neighbor search for a reference coordinate.
      Parameters:
      reference -

    • getSampler

      net.imglib2.Sampler<T> getSampler()
      Access the data of the nearest neighbor. Data is accessed through a Sampler that guarantees write access if the underlying data set is writable.

    • copy

      IntegratingNeighborSearch<T> copy()
      Create a copy.