gvsig-raster / org.gvsig.raster / branches / org.gvsig.raster_dataaccess_refactoring / org.gvsig.raster.lib / org.gvsig.raster.lib.impl / src / main / java / org / gvsig / raster / impl / grid / filter / segmentation / FirstDerivativeFloatFilter.java @ 2308
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/* gvSIG. Geographic Information System of the Valencian Government
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*
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* Copyright (C) 2007-2008 Infrastructures and Transports Department
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* of the Valencian Government (CIT)
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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* MA 02110-1301, USA.
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*
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*/
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package org.gvsig.raster.impl.grid.filter.segmentation; |
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import org.gvsig.fmap.dal.coverage.dataset.Buffer; |
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import org.gvsig.raster.impl.datastruct.Kernel; |
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/**
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* Filtro de primera derivada que se aplica en la imagen. Toma como entrada la imagen y el
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* umbral (cero para no umbralizar).
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*
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* @author Diego Guerrero Sevilla <diego.guerrero@uclm.es>
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*/
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public class FirstDerivativeFloatFilter extends FirstDerivativeFilter { |
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public void process(int col, int line) { |
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int out;
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int convoResult[] = new int[4]; |
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int ladoVentana = 3; |
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int semiLado = (ladoVentana - 1) >> 1; |
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double ventana[][] = new double[ladoVentana][ladoVentana]; |
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Kernel kernel = null; |
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for (int band = 0; band < nBandsToProcess; band++) { |
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if ((col - semiLado >= 0) && (line - semiLado >= 0) && (col + semiLado < width) && (line + semiLado < height)) { |
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// Obtener el vector con la ventanas de muestras
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for (int j = -semiLado; j <= semiLado; j++) |
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for (int i = -semiLado; i <= semiLado; i++) |
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ventana[i + semiLado][j + semiLado] = raster.getElemFloat(line + j, col + i, band); |
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kernel = new Kernel(ventana); |
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convoResult[0] = (int) operatorH.convolution(kernel); |
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convoResult[1] = (int) operatorV.convolution(kernel); |
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if (compare) {
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if (convoResult[0] > convoResult[1]) |
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out = convoResult[0];
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else
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out = convoResult[1];
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} else {
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out = (int) Math.sqrt(Math.pow(convoResult[0], 2) + Math.pow(convoResult[1], 2)); |
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} |
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if (umbral > 0) { |
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if (out >= (255 - umbral)) |
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out = 255;
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else
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out = 0;
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} else {
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if (out < 0) |
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out = 0;
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else if (out > 255) |
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out = 255;
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} |
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rasterResult.setElem(line, col, band, (byte) out);
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} else {
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rasterResult.setElem(line, col, band, (byte) raster.getElemFloat(line, col, band));
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} |
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} |
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if(hasTransparency)
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rasterResult.setElem(line, col, rasterResult.getBandCount() - 1,
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raster.getElemFloat(line, col, raster.getBandCount() - 1));
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} |
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public int getInRasterDataType() { |
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return Buffer.TYPE_FLOAT; |
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} |
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} |