001/** 002 * Copyright (c) 2011, The University of Southampton and the individual contributors. 003 * All rights reserved. 004 * 005 * Redistribution and use in source and binary forms, with or without modification, 006 * are permitted provided that the following conditions are met: 007 * 008 * * Redistributions of source code must retain the above copyright notice, 009 * this list of conditions and the following disclaimer. 010 * 011 * * Redistributions in binary form must reproduce the above copyright notice, 012 * this list of conditions and the following disclaimer in the documentation 013 * and/or other materials provided with the distribution. 014 * 015 * * Neither the name of the University of Southampton nor the names of its 016 * contributors may be used to endorse or promote products derived from this 017 * software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package org.openimaj.math.matrix.similarity.processor; 031 032import org.openimaj.math.matrix.similarity.SimilarityMatrix; 033 034/** 035 * A similarity matrix processor that sets all values 036 * less than a threshold to 0 and all other values to 037 * 1. 038 * 039 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 040 * 041 */ 042public class Threshold implements SimilarityMatrixProcessor { 043 protected double threshold; 044 045 /** 046 * Default constructor. 047 * @param threshold the threshold 048 */ 049 public Threshold(double threshold) { 050 this.threshold = threshold; 051 } 052 053 @Override 054 public void process(SimilarityMatrix matrix) { 055 final int rows = matrix.getRowDimension(); 056 final int cols = matrix.getColumnDimension(); 057 final double[][] data = matrix.getArray(); 058 059 for (int r=0; r<rows; r++) { 060 for (int c=0; c<cols; c++) { 061 if (data[r][c] < threshold) { 062 data[r][c] = 0; 063 } else { 064 data[r][c] = 1; 065 } 066 } 067 } 068 } 069 070}