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ModularImageAnalysis (MIA) is an ImageJ plugin which provides a modular framework for assembling image and object analysis workflows. Detected objects can be transformed, filtered, measured and related. Analysis workflows are batch-enabled by default, allowing easy processing of high-content datasets.
package io.github.mianalysis.mia.process.analysis;
import java.util.TreeMap;
import io.github.mianalysis.mia.object.coordinates.tracks.Track;
import io.github.mianalysis.mia.object.coordinates.tracks.Tracks;
/**
* Created by sc13967 on 22/01/2018.
*/
public class NearestNeighbourCalculator {
public TreeMap calculate(Track track, Tracks testTracks) {
TreeMap links = new TreeMap<>();
// Iterating over all frames in this track
for (int f:track.getF()) {
// Getting coordinates for this track
double x1 = track.getX(f);
double y1 = track.getY(f);
double z1 = track.getZ(f);
double minDist = Double.MAX_VALUE;
double nnID = -1;
// Iterating over all other tracks
for (int ID:testTracks.keySet()) {
Track testTrack = testTracks.get(ID);
// We don't want to compare our track to itself
if (track == testTrack) continue;
// If the test track doesn't have this time frame, skip it
if (!testTrack.containsKey(f)) continue;
// Getting coordinates for the comparison (test) track at the same frame
double x2 = testTrack.getX(f);
double y2 = testTrack.getY(f);
double z2 = testTrack.getZ(f);
// Calculating the distance
double distance = Math.sqrt((x2-x1)*(x2-x1)+(y2-y1)*(y2-y1)+(z2-z1)*(z2-z1));
if (distance < minDist) {
minDist = distance;
nnID = ID;
}
}
// Adding the link to the results structure
links.put(f,new double[]{nnID,minDist});
}
return links;
}
}