/* * ------------------------------------------------------------------------ * * University of Konstanz, Germany and * KNIME GmbH, Konstanz, Germany * Website: http://www.knime.org; Email: contact@knime.org * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License, Version 3, as * published by the Free Software Foundation. * * 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 <http://www.gnu.org/licenses>. * * Additional permission under GNU GPL version 3 section 7: * * KNIME interoperates with ECLIPSE solely via ECLIPSE's plug-in APIs. * Hence, KNIME and ECLIPSE are both independent programs and are not * derived from each other. Should, however, the interpretation of the * GNU GPL Version 3 ("License") under any applicable laws result in * KNIME and ECLIPSE being a combined program, KNIME GMBH herewith grants * you the additional permission to use and propagate KNIME together with * ECLIPSE with only the license terms in place for ECLIPSE applying to * ECLIPSE and the GNU GPL Version 3 applying for KNIME, provided the * license terms of ECLIPSE themselves allow for the respective use and * propagation of ECLIPSE together with KNIME. * * Additional permission relating to nodes for KNIME that extend the Node * Extension (and in particular that are based on subclasses of NodeModel, * NodeDialog, and NodeView) and that only interoperate with KNIME through * standard APIs ("Nodes"): * Nodes are deemed to be separate and independent programs and to not be * covered works. Notwithstanding anything to the contrary in the * License, the License does not apply to Nodes, you are not required to * license Nodes under the License, and you are granted a license to * prepare and propagate Nodes, in each case even if such Nodes are * propagated with or for interoperation with KNIME. The owner of a Node * may freely choose the license terms applicable to such Node, including * when such Node is propagated with or for interoperation with KNIME. --------------------------------------------------------------------- * */ package org.knime.knip.features.sets; import net.imagej.ops.Contingent; import net.imagej.ops.features.haralick.HaralickFeature; import net.imglib2.IterableInterval; import net.imglib2.type.numeric.RealType; import org.scijava.ItemIO; import org.scijava.plugin.Attr; import org.scijava.plugin.Parameter; import org.scijava.plugin.Plugin; /** * {@link FeatureSet} for {@link HaralickFeature}s * * @author Christian Dietz, University of Konstanz * @param <T> * @param <O> */ @Plugin(type = FeatureSet.class, label = "Haralick 2D Features", description = "<h1> Haralick 2D Feature Set</h1> <h2>Description</h2> The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made. Each entry is therefore considered to be the probability that a pixel with value i will be found adjacent to a pixel of value j. For more information see <a href=\"http://murphylab.web.cmu.edu/publications/boland/boland_node26.html\">Haralick Features</a><h2>Parameters</h2> <ul><li><strong>Num. Grey Levels:</strong> The number of grey values determines the size of the co-occurence matrix on which the Haralick features are calculated.</li><li><strong>Distance:</strong> The maximum distance between pairs of pixels which will be added to the co-occurence matrix.</li><li><strong>Orientation:</strong> Orientation of the pairs of pixels which will be added to the co-occurence matrix.</li></ul>") public class Haralick2DFeatureSet<T extends RealType<T>, O extends RealType<O>> extends AbstractOpRefFeatureSet<IterableInterval<T>, O> implements Contingent { private static final String PKG = "net.imagej.ops.Ops$Haralick$"; @Parameter(type = ItemIO.INPUT, label = "Number Grey Levels", description = "The number of grey values determines the size of the co-occurence matrix on which the Haralick features are calculated.", min = "1", max = "2147483647", stepSize = "1") private int numGreyLevels = 32; @Parameter(type = ItemIO.INPUT, label = "Distance", description = "The maximum distance between pairs of pixels which will be added to the co-occurence matrix.", min = "1", max = "2147483647", stepSize = "1") private int distance = 1; @Parameter(type = ItemIO.INPUT, label = "Orientation", description = "Orientation of the pairs of pixels which will be added to the co-occurence matrix", choices = { "DIAGONAL 2D", "ANTIDIAGONAL 2D", "HORIZONTAL 2D", "VERTICAL 2D" }) private String orientation = "HORIZONTAL"; @Parameter(required = false, label = "ASM", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "ASM") }) private boolean isASMActive = true; @Parameter(required = false, label = "Cluster Promenence", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "ClusterPromenence") }) private boolean isClusterPromenenceActive = true; @Parameter(required = false, label = "Cluster Shade", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "ClusterShade") }) private boolean isClusterShadeActive = true; @Parameter(required = false, label = "Contrast", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "Contrast") }) private boolean isContrastActive = true; @Parameter(required = false, label = "Correlation", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "Correlation") }) private boolean isCorrelationActive = true; @Parameter(required = false, label = "Difference Entropy", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "DifferenceEntropy") }) private boolean isDifferenceEntropyActive = true; @Parameter(required = false, label = "Difference Variance", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "DifferenceVariance") }) private boolean isDifferenceVarianceActive = true; @Parameter(required = false, label = "Entropy", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "Entropy") }) private boolean isEntropyActive = true; @Parameter(required = false, label = "ICM1", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "ICM1") }) private boolean isICM1Active = true; @Parameter(required = false, label = "ICM2", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "ICM2") }) private boolean isICM2Active = true; @Parameter(required = false, label = "IFDM", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "IFDM") }) private boolean isIFDMActive = true; @Parameter(required = false, label = "Max Probability", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "MaxProbability") }) private boolean isMaxProbabilityActive = true; @Parameter(required = false, label = "Sum Average", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "SumAverage") }) private boolean isSumAverageActive = true; @Parameter(required = false, label = "Sum Entropy", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "SumEntropy") }) private boolean isSumEntropyActive = true; @Parameter(required = false, label = "Sum Variance", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "SumVariance") }) private boolean isSumVarianceActive = true; @Parameter(required = false, label = "Texture Homogenity", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "TextureHomogeneity") }) private boolean isTextureHomogeneityActive = true; @Parameter(required = false, label = "Variance", attrs = { @Attr(name = ATTR_FEATURE), @Attr(name = ATTR_PARAMS, value = "numGreyLevels,distance,orientation"), @Attr(name = ATTR_TYPE, value = PKG + "Variance") }) private boolean isVarianceActive = true; @Override public boolean conforms() { return in().numDimensions() == 2; } @Override public boolean isCompatible(final Class<?> object, final Class<?> type) { return IterableInterval.class.isAssignableFrom(object) && RealType.class.isAssignableFrom(type); } }