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126 lines
4.6 KiB
Java

package mosaic.picture.worker;
import java.awt.image.ColorModel;
import java.io.File;
import java.util.HashMap;
import mosaic.log.Log;
import mosaic.log.LogLevel;
import mosaic.picture.ImageAnalyzer;
import mosaic.picture.ImageUtils;
public class MatchWorker extends ImageAnalyzerWorker{
private int startCoord, endCoord, deviation;
HashMap<String, Integer> slotClassifications;
HashMap<String, Integer> index;
public MatchWorker(ImageAnalyzer ia, String name, int startCoord, int endCoord, int deviation,
HashMap<String, Integer> slotClassifications, HashMap<String, Integer> index){
super(ia, name);
this.deviation = deviation;
this.startCoord = startCoord;
this.endCoord = endCoord;
this.slotClassifications = slotClassifications;
this.index = index;
this.ia = ia;
this.start();
}
@Override
public void run() {
Log.log(LogLevel.Debug, "["+this.getName()+"] has started its duty!");
HashMap<int[], File[]> fileMap = new HashMap<int[], File[]>();
for(int i = startCoord; i < endCoord; i++){
int[] coord = {i%ia.slotX, i/ia.slotX};
if(coord[0]+ia.preSlotWidth >= ia.target.getWidth() || coord[1]+ia.preSlotHeight >= ia.target.getHeight()){
//Dirty FIX
//This will inevitably land outside the Raster otherwise. I should prevent these Coords from the start
//Log.log(LogLevel.Error, "Didn't classify "+coord[0]+" "+coord[1]);
continue;
}
if(coord[0] == ia.slotX-1 || coord[1] == ia.slotY-1){
//Dirty Fix
//for avoiding non-existant keys in the slotClassifications.
continue;
}
if(index == null || slotClassifications.get(ImageUtils.parseCoord(coord)) == null){ //TODO remove
Log.log(LogLevel.Error, "MatchWorker run() -> slotClassifications.get(ImageUtils.parseCoord(coord)==null");
Log.log(LogLevel.Error, "BRrrring"+slotClassifications.get(ImageUtils.parseCoord(coord)));
Log.log(LogLevel.Error, "parsed: "+ImageUtils.parseCoord(coord));
Log.log(LogLevel.Error, "Unparsed: "+coord[0]+" "+coord[1]);
Log.log(LogLevel.Error, "");
for(String key: slotClassifications.keySet()){
//Log.log(LogLevel.Error, key);
}
}
HashMap<String, Integer> matches = matchClosestIndex(index, slotClassifications.get(ImageUtils.parseCoord(coord)), deviation);
Log.log(LogLevel.Debug, "["+this.getName()+"] Matched "+matches.keySet().size()+" image(s) to slot "+i+" !");
File[] files = new File[matches.keySet().size()];
for(int n = 0; n < files.length; n++){
files[n] = new File(ia.fh.InputImagesFolder.getAbsolutePath()+ia.fh.fs+(String) matches.keySet().toArray()[n]);
}
fileMap.put(coord, files);
}
ia.addFileMaps(fileMap);
Log.log(LogLevel.Info, "["+this.getName()+"] This worker has finished its chunk! Terminating ...");
}
/**
* Compares the given rgb value with the index and returns a HashMap of the closest hits.
* Unlikely to yield more than 1 result without deviationPercentage
* @param index
* @param rgb
* @param deviation How much the matches can be different from the perfect match, and still be taken.
* @return
*/
public HashMap<String, Integer> matchClosestIndex(HashMap<String, Integer> index, int rgb, int deviation){
if(index == null){
System.out.println("Briiing!");
}
Log.log(LogLevel.Debug, "Searching for closest match for rgb:"+rgb+" in the index with deviation of "+deviation+".");
assert(deviation < 100 && 0 <= deviation);
if(index == null){
Log.log(LogLevel.Critical, "No Index was given for rgb matching. Exiting!");
return null;
}
HashMap<String, Double> metrics = new HashMap<String, Double>();
double currBest = -1;
for(String key: index.keySet()){
double metric = getMetric(index.get(key), rgb);
metrics.put(key, metric);
if(currBest > metric || currBest == -1){
currBest = metric;
}
}
Log.log(LogLevel.Debug, "Calculated all metrics for rgb:"+rgb+" !");
HashMap<String, Integer> matches = new HashMap<String, Integer>();
for(String key: metrics.keySet()){
if(metrics.get(key) == currBest || metrics.get(key) < currBest+(currBest*(deviation/(double)100))){
matches.put(key, index.get(key));
}
}
Log.log(LogLevel.Debug, "Grabbed all good matches for rgb:"+rgb+" ! Got "+matches.size()+" ...");
return matches;
}
/**
* Calculates the euclidian metric of two given rgb values.
* @param rgb1
* @param rgb2
* @return
*/
private double getMetric(int rgb1, int rgb2){
ColorModel cm = ColorModel.getRGBdefault();
double result = Math.sqrt(Math.pow((cm.getRed(rgb1)-cm.getRed(rgb2)), 2)+
Math.pow(cm.getGreen(rgb1)-cm.getGreen(rgb2), 2)+
Math.pow(cm.getBlue(rgb1)-cm.getBlue(rgb2), 2));
return result;
}
}