root / trunk / libraries / libCq_CMS_praster / src / org / cresques / filter / convolution / ConvolutionImageFilter.java @ 8026
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/* gvSIG. Sistema de Informaci?n Geogr?fica de la Generalitat Valenciana
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*
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* Copyright (C) 2004 IVER T.I. and Generalitat Valenciana.
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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., 59 Temple Place - Suite 330, Boston, MA 02111-1307,USA.
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*/
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package org.cresques.filter.convolution; |
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import java.awt.Image; |
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import java.awt.image.BufferedImage; |
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import org.cresques.io.data.RasterBuf; |
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import org.gvsig.i18n.Messages; |
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/**
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* Filtro de Convoluci?n que se aplica en la imagen. Toma como entrada la imagen,
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* el kernel en que se base la convoluci?n y el 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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*/
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public class ConvolutionImageFilter extends ConvolutionFilter { |
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/**
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* Constructor sin par?metros. Este es usado principalmente desde controlTypes
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* ya que se instancia con newInstance y sin par?metros. Poseriormente le aplica
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* el nombre al filtro con la funci?n setFilterName de RasterFilter.
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*/
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public ConvolutionImageFilter() {}
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/**
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* Constructor para la asignaci?n del identificador del filtro
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* @param fName Cadena que representa el identificador del filtro
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*/
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public ConvolutionImageFilter(String fName) { |
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super(fName);
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} |
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public Object getResult(String name) { |
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if (name.equals("raster")) { |
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return (Object) this.imageResult; |
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} else {
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return null; |
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} |
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} |
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public void pre() { |
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exec = true;
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this.image = (Image) params.get("raster"); |
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height = image.getHeight(null);
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width = image.getWidth(null);
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imageResult = new BufferedImage(image.getWidth(null),image.getHeight(null), BufferedImage.TYPE_INT_ARGB); |
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super.pre();
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} |
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public void process(int col, int line) { |
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int px;
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int outR,outG,outB;
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int ladoVentana = kernel.getLado();
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int semiLado = (ladoVentana-1)>>1; |
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double ventanaR[][]=new double[ladoVentana][ladoVentana]; |
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double ventanaG[][]=new double[ladoVentana][ladoVentana]; |
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double ventanaB[][]=new double[ladoVentana][ladoVentana]; |
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Kernel kernelRGB[]=new Kernel[3]; |
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px = ((BufferedImage) image).getRGB(col, line);
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int alpha = (px & 0xff000000); //Extraigo el alpha para mantenerlo. |
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if((col-semiLado >= 0) && (line-semiLado >= 0) &&(col+semiLado < width)&&(line+semiLado < height)) |
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{
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// Obtener el vector con la ventanas de muestras (una por componente RGB)
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for (int i=-semiLado;i<=semiLado;i++) |
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for(int j=-semiLado;j<=semiLado;j++) |
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{
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px = ((BufferedImage) image).getRGB(col + i, line + j);
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ventanaR[i+semiLado][j+semiLado] =(px & 0x00ff0000) >> 16; |
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ventanaG[i+semiLado][j+semiLado] =(px & 0x0000ff00) >> 8; |
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ventanaB[i+semiLado][j+semiLado] =(px & 0x000000ff);
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} |
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kernelRGB[0]=new Kernel(ventanaR); |
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kernelRGB[1]=new Kernel(ventanaG); |
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kernelRGB[2]=new Kernel(ventanaB); |
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outR= (int)kernel.convolution(kernelRGB[0]); |
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outG= (int)kernel.convolution(kernelRGB[1]); |
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outB= (int)kernel.convolution(kernelRGB[2]); |
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if (umbral>0){ |
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if(outR>=umbral)outR=255; |
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else outR=0; |
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if(outG>=umbral)outG=255; |
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else outG=0; |
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if(outB>=umbral)outB=255; |
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else outB=0; |
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} |
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else{
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if (outR<0) outR=0; |
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else if (outR>255) outR=255; |
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if (outG<0) outG=0; |
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else if (outG>255) outG=255; |
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if (outB<0) outB=0; |
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else if (outB>255) outB=255; |
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} |
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((BufferedImage) imageResult).setRGB(col, line, alpha |
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((outR << 16) & 0x00ff0000) | |
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((outG << 8) & 0x0000ff00) | |
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(outB & 0x000000ff));
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} |
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else ((BufferedImage) imageResult).setRGB(col, line, px); |
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} |
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public void processSuperSampling(int col, int line) { |
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int px;
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int outR,outG,outB;
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int ladoVentana = kernel.getLado();
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Kernel kernelRGB[] = null; |
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px = ((BufferedImage) image).getRGB(col, line);
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int alpha = (px & 0xff000000); //Extraigo el alpha para mantenerlo. |
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// Obtener el vector con la ventanas de muestras (una por componente RGB)
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kernelRGB=extractSubImage(ladoVentana, col, line); |
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if(kernelRGB!=null) |
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{
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outR= (int)kernel.convolution(kernelRGB[0]); |
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outG= (int)kernel.convolution(kernelRGB[1]); |
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outB= (int)kernel.convolution(kernelRGB[2]); |
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if (umbral>0){ |
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if(outR>=umbral)outR=255; |
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else outR=0; |
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if(outG>=umbral)outG=255; |
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else outG=0; |
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if(outB>=umbral)outB=255; |
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else outB=0; |
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} |
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else{
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if (outR<0) outR=0; |
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else if (outR>255) outR=255; |
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if (outG<0) outG=0; |
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else if (outG>255) outG=255; |
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if (outB<0) outB=0; |
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else if (outB>255) outB=255; |
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} |
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for(int j = col; j < width && j < (col + stepX[contX + 1]); j++) |
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for(int i = line; i < height && i < (line + stepY[contY + 1]); i++) |
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((BufferedImage) imageResult).setRGB(j, i, alpha |
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((outR << 16) & 0x00ff0000) | |
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((outG << 8) & 0x0000ff00) | |
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(outB & 0x000000ff));
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} |
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else
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for(int j = col; j < width && j < (col + stepX[contX + 1]); j++) |
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for(int i = line; i < height && i < (line + stepY[contY + 1]); i++) |
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((BufferedImage) imageResult).setRGB(j, i,px);
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} |
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public int getInRasterDataType() { |
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return RasterBuf.TYPE_IMAGE;
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} |
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public int getOutRasterDataType() { |
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return RasterBuf.TYPE_IMAGE;
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} |
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public void processLine(int y) { |
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// TODO Auto-generated method stub
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} |
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/**
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* Obtiene tres ventanas centradas en la coordena (x,y) de tama?o ladoVentana * ladoVentana.
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*
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* @return null si la ventana se sale de la imagen.
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*/
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public Kernel[] extractSubImage(int ladoVentana,int x,int y){ |
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int indiceX,indiceY,origenX,origenY;
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int px;
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int semiLado = (ladoVentana-1)>>1; |
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int offsetX=0; |
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int offsetY=0; |
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Kernel kernelRGB[] = null; |
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if ((contX+1-semiLado>=0) && (contY+1-semiLado>=0)&& (contX+1+semiLado<stepX.length) && (contY+1+semiLado<stepY.length)){ |
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// Calcular el alcance del kernel cuyo centro es (x,y)
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for (int i=0;i<semiLado;i++){ |
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offsetX=offsetX+stepX[contX+i+1];
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offsetY=offsetY+stepY[contY+i+1];
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} |
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if((contY+1-semiLado>=0) && (x+offsetX<width)&&(y+offsetY<height)){ |
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double ventanaR[][] = new double[ladoVentana][ladoVentana]; |
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double ventanaG[][] = new double[ladoVentana][ladoVentana]; |
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double ventanaB[][] = new double[ladoVentana][ladoVentana]; |
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kernelRGB = new Kernel[3]; |
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origenX=x; |
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origenY=y; |
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kernelRGB = new Kernel[3]; |
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for (int i=0;i<semiLado;i++){ |
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origenX=origenX-stepX[contX-i]; |
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origenY=origenY-stepY[contY-i]; |
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} |
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//Recorro el kernel seg?n los step
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indiceX=origenX; |
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for (int i=-semiLado;i<=semiLado;i++){ |
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indiceY=origenY; |
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for(int j=-semiLado;j<=semiLado;j++){ |
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px = ((BufferedImage) image).getRGB(indiceX, indiceY);
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ventanaR[i+semiLado][j+semiLado] =(px & 0x00ff0000) >> 16; |
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ventanaG[i+semiLado][j+semiLado] =(px & 0x0000ff00) >> 8; |
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ventanaB[i+semiLado][j+semiLado] =(px & 0x000000ff);
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indiceY=indiceY+stepY[contY+j+1];
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} |
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indiceX=indiceX+stepX[contX+i+1];
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} |
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//**************************************************************************************************
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kernelRGB[0]= new Kernel(ventanaR); |
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kernelRGB[1]= new Kernel(ventanaG); |
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kernelRGB[2]= new Kernel(ventanaB); |
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} |
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} |
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return kernelRGB;
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} |
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} |