All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.actelion.research.orbit.imageAnalysis.models.MixtureStatistics Maven / Gradle / Ivy

Go to download

Orbit, a versatile image analysis software for biological image-based quantification

There is a newer version: 3.15
Show newest version
/*
 *     Orbit, a versatile image analysis software for biological image-based quantification.
 *     Copyright (C) 2009 - 2017 Actelion Pharmaceuticals Ltd., Gewerbestrasse 16, CH-4123 Allschwil, Switzerland.
 *
 *     This program is free software: you can redistribute it and/or modify
 *     it under the terms of the GNU General Public License as published by
 *     the Free Software Foundation, either version 3 of the License, or
 *     (at your option) any later version.
 *
 *     This program is distributed in the hope that it will be useful,
 *     but WITHOUT ANY WARRANTY; without even the implied warranty of
 *     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *     GNU General Public License for more details.
 *
 *     You should have received a copy of the GNU General Public License
 *     along with this program.  If not, see .
 *
 */

package com.actelion.research.orbit.imageAnalysis.models;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Hashtable;
import java.util.List;

/**
 * Provides helper methods for computing statistics from the object segmentation mixtures. Can be used with the result of
 * RecognitionFrame.getMixtures.
* Call the compute() method before calling the getter methods. */ public class MixtureStatistics implements Serializable { private static final long serialVersionUID = 1L; private List classes = null; private Hashtable objectsPerClass = null; private List mixtures = null; private List classShapes = null; private String outString = ""; public MixtureStatistics(List mixtures, List classShapes) { if (mixtures == null || mixtures.size() < 1) throw new IllegalArgumentException("Error: mixtures cannot be null and size should be > 0."); if (mixtures.get(0).length != classShapes.size()) throw new IllegalArgumentException("Mixtures[0] and ClassShapes cannot have different sizes."); this.mixtures = mixtures; this.classShapes = classShapes; } /** * computes the statistics and has to be called before calling getClasses or getObjectsperClass. */ public void compute() { int i = 0; classes = new ArrayList(classShapes.size()); StringBuilder sb = new StringBuilder(); sb.append("Object\t"); for (int j = 0; j < classShapes.size(); j++) { sb.append(classShapes.get(j).getName()); //if (j= classShapes.get(m).getMixtureTreshold()) /*&& classShapes.get(m).isEnableObjectCount()*/) { if (!mixClass.equals("(")) mixClass += "/"; mixClass += classShapes.get(m).getName(); } } mixClass += ")"; classes.add(mixClass); // "()" classes are also allowed!!! sb.append(mixClass); sb.append("\n"); i++; } outString = sb.toString(); countObjectsPerClass(); } public String getObjDescription(int obj) { StringBuffer sb = new StringBuffer(); int i = obj; double[] mix = mixtures.get(i); sb.append("Obj" + i + " "); String mixClass = "("; for (int m = 0; m < mix.length; m++) { sb.append(classShapes.get(m).getName() + ": "); sb.append(String.format("%1$.2f", mix[m])); //if (m= classShapes.get(m).getMixtureTreshold()) /*&& classShapes.get(m).isEnableObjectCount()*/) { if (!mixClass.equals("(")) mixClass += "/"; mixClass += classShapes.get(m).getName(); } } mixClass += ")"; sb.append(" Class: " + mixClass); return sb.toString(); } private void countObjectsPerClass() { if (classes == null) throw new IllegalArgumentException("compute() has to be called before."); objectsPerClass = new Hashtable(classShapes.size()); for (String c : classes) { if (!objectsPerClass.containsKey(c)) { objectsPerClass.put(c, 1); } objectsPerClass.put(c, objectsPerClass.get(c) + 1); } } public List getClasses() { if (classes == null) throw new IllegalArgumentException("compute() has to be called before."); return classes; } public void setClasses(List classes) { this.classes = classes; } public Hashtable getObjectsPerClass() { if (objectsPerClass == null) throw new IllegalArgumentException("compute() has to be called before."); return objectsPerClass; } public List getMixtures() { return mixtures; } public void setMixtures(List mixtures) { this.mixtures = mixtures; } public String toString() { if (outString != null && outString.length() > 0) return outString; else return "Not yet computed."; } public String toStringExtended() { if (objectsPerClass == null) throw new IllegalArgumentException("compute() has to be called before."); StringBuilder sb = new StringBuilder(outString.length()); sb.append("#Objects per class:\n"); sb.append("mixtureClass\tobjectCount\n"); List classList = new ArrayList(objectsPerClass.size()); for (String k : objectsPerClass.keySet()) classList.add(k); Collections.sort(classList); for (String k : classList) { sb.append(k + "\t" + objectsPerClass.get(k) + "\n"); } sb.append("\n"); sb.append("Mixtures per object:\n"); sb.append(outString); return sb.toString(); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy