com.actelion.research.orbit.imageAnalysis.models.FeatureDescription Maven / Gradle / Ivy
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Orbit, a versatile image analysis software for biological image-based quantification
/*
* 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 imageJ.Colour_Deconvolution;
import java.io.Serializable;
import java.util.Arrays;
public class FeatureDescription implements Serializable, Cloneable {
private static final long serialVersionUID = 1L;
public static final int FEATURE_SET_PIX_MEAN_MIN_MAX_SD = 0;
public static final int FEATURE_SET_PIX_MEAN_MIN_MAX_SD_EDGE = 1;
public static final int FEATURE_SET_INTENS = 2;
public static final int FEATURE_SET_DEFAULT = FEATURE_SET_PIX_MEAN_MIN_MAX_SD_EDGE;
private int featureVersion = 2; // if not set (=0) TissueFeaturesOld will be used for backward compatibility
private int windowSize = 4;
private int sampleSize = 3; // number of color channels. Default is 3 for RGB, but can be 1 for grey-color.
private boolean contextClassificationEnabled = false;
private int minSegmentationSize = 10;
private int maxSegmentationLength = 500; // pixel of one segmentation path
private int maxOpenDistance = 3; // max pixel distance from first to last point in segmentation polygon
private int numBlur = 0;
private boolean minAreaClassification = false;
private int featureSet = FEATURE_SET_PIX_MEAN_MIN_MAX_SD; // backward compatibility
private boolean skipRed = false;
private boolean skipGreen = false;
private boolean skipBlue = false;
private boolean deactivateWatershed = false; // used for 'large object detection' (a combination of watershed disabled, crossTileJoin enabled, dilate and erode)
private boolean filterTileEdgeShapes = false;
private double segmentationScale = 1d;
private int[] featureClasses = null;
private int deconvChannel = 0;
private String deconvName = Colour_Deconvolution.DECONV_NONE;
// version >=2
private boolean disableWatershed = false; // just disable watershed - deactivateWatershed is obsolete, but used for 'large object detection'
private boolean combineObjectsCrossTiles = false;
private boolean dilateBeforeErode = true;
private int numDilate = 1; // for better segmentation
private int numErode = 0;
private int removeOutliers = 0;
private double graphCut = 0d;
private boolean useImageAdjustments = false; // imageAdjustments like gamma, contrast, brightness loaded from DB (meta data)
private boolean forSecondarySegmentationModel = false;
private boolean cytoplasmaSegmentation = false;
private String[] activeFluoChannels;
private boolean mumfordShahSegmentation = false;
private int mumfordShahAlpha = 5;
private int mumfordShahCellSize = 18;
public FeatureDescription() {
featureSet = FEATURE_SET_DEFAULT; // latest version
}
public FeatureDescription(int windowSize) {
this();
this.windowSize = windowSize;
}
public FeatureDescription(int windowSize, int sampleSize, int featureSet, int minSegmentationSize, boolean minAreaClassification, int numBlur, boolean skipRed, boolean skipGreen, boolean skipBlue, double segmentationScale, int[] featureClasses, boolean deactivateWatershed, boolean filterTileEdgeShapes, int deconvChannel, String deconvName, boolean useImageAdjustments, String[] activeFluoChannels, boolean mumfordShahSegmentation, int mumfordShahAlpha, int mumfordShahCellSize) {
this.windowSize = windowSize;
this.sampleSize = sampleSize;
this.featureSet = featureSet;
this.minSegmentationSize = minSegmentationSize;
this.minAreaClassification = minAreaClassification;
this.numBlur = numBlur;
this.skipRed = skipRed;
this.skipGreen = skipGreen;
this.skipBlue = skipBlue;
this.segmentationScale = segmentationScale;
this.featureClasses = featureClasses;
this.deactivateWatershed = deactivateWatershed;
this.filterTileEdgeShapes = filterTileEdgeShapes;
this.deconvChannel = deconvChannel;
this.deconvName = deconvName;
this.useImageAdjustments = useImageAdjustments;
this.activeFluoChannels = activeFluoChannels;
this.mumfordShahSegmentation = mumfordShahSegmentation;
this.mumfordShahAlpha = mumfordShahAlpha;
this.mumfordShahCellSize = mumfordShahCellSize;
}
public int getWindowSize() {
return windowSize;
}
public void setWindowSize(int windowSize) {
this.windowSize = windowSize;
}
public boolean isContextClassificationEnabled() {
return contextClassificationEnabled;
}
public void setContextClassificationEnabled(boolean contextClassificationEnabled) {
this.contextClassificationEnabled = contextClassificationEnabled;
}
public int getMinSegmentationSize() {
return minSegmentationSize;
}
public void setMinSegmentationSize(int minSegmentationSize) {
this.minSegmentationSize = minSegmentationSize;
}
public int getFeatureSet() {
return featureSet;
}
public void setFeatureSet(int featureSet) {
this.featureSet = featureSet;
}
/**
* Number of color channels. Set to 3 for RGB and 1 for grey-color.
*
* @return
*/
public int getSampleSize() {
return sampleSize;
}
public void setSampleSize(int sampleSize) {
this.sampleSize = sampleSize;
}
public boolean isMinAreaClassification() {
return minAreaClassification;
}
public void setMinAreaClassification(boolean minAreaClassification) {
this.minAreaClassification = minAreaClassification;
}
public int getNumBlur() {
return numBlur;
}
public void setNumBlur(int numBlur) {
this.numBlur = numBlur;
}
public boolean isSkipRed() {
return skipRed;
}
public void setSkipRed(boolean skipRed) {
this.skipRed = skipRed;
}
public boolean isSkipGreen() {
return skipGreen;
}
public void setSkipGreen(boolean skipGreen) {
this.skipGreen = skipGreen;
}
public boolean isSkipBlue() {
return skipBlue;
}
public void setSkipBlue(boolean skipBlue) {
this.skipBlue = skipBlue;
}
public double getSegmentationScale() {
if (segmentationScale == 0d)
segmentationScale = 1d; // because de-serialization sets it to 0 if it was not existing before
return segmentationScale;
}
public void setSegmentationScale(double segmentationScale) {
this.segmentationScale = segmentationScale;
}
public int[] getFeatureClasses() {
return featureClasses;
}
public void setFeatureClasses(int[] featureClasses) {
this.featureClasses = featureClasses;
}
public int getMaxSegmentationLength() {
return maxSegmentationLength == 0 ? 200 : maxSegmentationLength;
}
public void setMaxSegmentationLength(int maxSegmentationLength) {
this.maxSegmentationLength = maxSegmentationLength;
}
public int getMaxOpenDistance() {
return maxOpenDistance == 0 ? 3 : maxOpenDistance;
}
public void setMaxOpenDistance(int maxOpenDistance) {
this.maxOpenDistance = maxOpenDistance;
}
public int getFeatureVersion() {
return featureVersion;
}
public void setFeatureVersion(int featureVersion) {
this.featureVersion = featureVersion;
}
/**
* returns true if nerve-detection mode is enabled
* @return
*/
public boolean isDeactivateWatershed() {
return deactivateWatershed;
}
/**
* set to true for nerve detection mode
* @param deactivateWatershed
*/
public void setDeactivateWatershed(boolean deactivateWatershed) {
this.deactivateWatershed = deactivateWatershed;
}
public int getDeconvChannel() {
return deconvChannel;
}
public void setDeconvChannel(int deconvChannel) {
this.deconvChannel = deconvChannel;
}
public String getDeconvName() {
return deconvName;
}
public void setDeconvName(String deconvName) {
this.deconvName = deconvName;
}
public boolean isDisableWatershed() {
return disableWatershed;
}
public void setDisableWatershed(boolean disableWatershed) {
this.disableWatershed = disableWatershed;
}
public boolean isCombineObjectsCrossTiles() {
return combineObjectsCrossTiles;
}
public void setCombineObjectsCrossTiles(boolean combineObjectsCrossTiles) {
this.combineObjectsCrossTiles = combineObjectsCrossTiles;
}
public boolean isDilateBeforeErode() {
return dilateBeforeErode;
}
public void setDilateBeforeErode(boolean dilateBeforeErode) {
this.dilateBeforeErode = dilateBeforeErode;
}
public int getNumDilate() {
return numDilate;
}
public void setNumDilate(int numDilate) {
this.numDilate = numDilate;
}
public int getNumErode() {
return numErode;
}
public void setNumErode(int numErode) {
this.numErode = numErode;
}
public int getRemoveOutliers() {
return removeOutliers;
}
public void setRemoveOutliers(int removeOutliers) {
this.removeOutliers = removeOutliers;
}
public double getGraphCut() {
return graphCut;
}
public void setGraphCut(double graphCut) {
this.graphCut = graphCut;
}
public boolean isUseImageAdjustments() {
return useImageAdjustments;
}
public void setUseImageAdjustments(boolean useImageAdjustments) {
this.useImageAdjustments = useImageAdjustments;
}
public boolean isForSecondarySegmentationModel() {
return forSecondarySegmentationModel;
}
public void setForSecondarySegmentationModel(boolean forSecondarySegmentationModel) {
this.forSecondarySegmentationModel = forSecondarySegmentationModel;
}
public boolean isCytoplasmaSegmentation() {
return cytoplasmaSegmentation;
}
public void setCytoplasmaSegmentation(boolean cytoplasmaSegmentation) {
this.cytoplasmaSegmentation = cytoplasmaSegmentation;
}
public String[] getActiveFluoChannels() {
return activeFluoChannels;
}
public void setActiveFluoChannels(String[] activeFluoChannels) {
this.activeFluoChannels = activeFluoChannels;
}
public boolean isFilterTileEdgeShapes() {
return filterTileEdgeShapes;
}
public void setFilterTileEdgeShapes(boolean filterTileEdgeShapes) {
this.filterTileEdgeShapes = filterTileEdgeShapes;
}
public boolean isMumfordShahSegmentation() {
return mumfordShahSegmentation;
}
public void setMumfordShahSegmentation(boolean mumfordShahSegmentation) {
this.mumfordShahSegmentation = mumfordShahSegmentation;
}
public int getMumfordShahAlpha() {
return mumfordShahAlpha;
}
public void setMumfordShahAlpha(int mumfordShahAlpha) {
this.mumfordShahAlpha = mumfordShahAlpha;
}
public int getMumfordShahCellSize() {
return mumfordShahCellSize;
}
public void setMumfordShahCellSize(int mumfordShahCellSize) {
this.mumfordShahCellSize = mumfordShahCellSize;
}
public FeatureDescription clone() {
try {
return ((FeatureDescription) super.clone());
} catch (CloneNotSupportedException e) {
e.printStackTrace();
}
return null;
}
@Override
public String toString() {
return "FeatureDescription{" +
"featureVersion=" + featureVersion +
", windowSize=" + windowSize +
", sampleSize=" + sampleSize +
", contextClassificationEnabled=" + contextClassificationEnabled +
", minSegmentationSize=" + minSegmentationSize +
", maxSegmentationLength=" + maxSegmentationLength +
", maxOpenDistance=" + maxOpenDistance +
", numBlur=" + numBlur +
", minAreaClassification=" + minAreaClassification +
", featureSet=" + featureSet +
", skipRed=" + skipRed +
", skipGreen=" + skipGreen +
", skipBlue=" + skipBlue +
", deactivateWatershed=" + deactivateWatershed +
", filterTileEdgeShapes=" + filterTileEdgeShapes +
", segmentationScale=" + segmentationScale +
", featureClasses=" + Arrays.toString(featureClasses) +
", deconvChannel=" + deconvChannel +
", deconvName='" + deconvName + '\'' +
", disableWatershed=" + disableWatershed +
", combineObjectsCrossTiles=" + combineObjectsCrossTiles +
", dilateBeforeErode=" + dilateBeforeErode +
", numDilate=" + numDilate +
", numErode=" + numErode +
", removeOutliers=" + removeOutliers +
", graphCut=" + graphCut +
", useImageAdjustments=" + useImageAdjustments +
", cytoplasmaSegmentation=" + cytoplasmaSegmentation +
", activeFluoChannels=" +Arrays.toString(activeFluoChannels) +
", mumfordShahSegmentation="+mumfordShahSegmentation +
", mumfordShahAlpha="+mumfordShahAlpha +
", mumfordShahCellSize="+mumfordShahCellSize +
'}';
}
}