/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.cocoon.reading.imageop;
import java.awt.image.ConvolveOp;
import java.awt.image.Kernel;
import java.awt.image.WritableRaster;
import java.util.StringTokenizer;
import org.apache.avalon.framework.parameters.Parameters;
import org.apache.cocoon.ProcessingException;
public class ConvolveOperation
implements ImageOperation
{
private String m_Prefix;
private boolean m_Enabled;
private int m_ConvolveHeight;
private int m_ConvolveWidth;
private float[] m_Data;
public void setPrefix( String prefix )
{
m_Prefix = prefix;
}
public void setup( Parameters params )
throws ProcessingException
{
m_Enabled = params.getParameterAsBoolean( m_Prefix + "enabled", true);
m_ConvolveWidth = params.getParameterAsInteger( m_Prefix + "width", 3 );
m_ConvolveHeight = params.getParameterAsInteger( m_Prefix + "height", 3 );
String values = params.getParameter( m_Prefix + "data", "" );
m_Data = getFloatArray( values );
if( m_Data.length != m_ConvolveWidth * m_ConvolveHeight )
throw new ProcessingException( "The width*height must be equal to the number of data elements given: " + (m_ConvolveWidth * m_ConvolveHeight) + " is not compatible with '" + values + "'" );
}
public WritableRaster apply( WritableRaster image )
{
if( ! m_Enabled )
return image;
Kernel kernel = new Kernel( m_ConvolveWidth, m_ConvolveHeight, m_Data );
ConvolveOp op = new ConvolveOp( kernel, ConvolveOp.EDGE_NO_OP, null );
WritableRaster r = op.filter( image, null );
return r;
}
private float[] getFloatArray( String values )
{
float[] fvalues = new float[ 30 ];
int counter = 0;
StringTokenizer st = new StringTokenizer( values, ",", false );
for( int i = 0 ; st.hasMoreTokens() ; i++ )
{
String value = st.nextToken().trim();
fvalues[ i ] = Float.parseFloat( value );
counter = counter + 1;
}
float[] result = new float[ counter ];
for( int i = 0 ; i < counter ; i++ )
result[i] = fvalues[i];
return result;
}
private String getDataAsString()
{
StringBuffer b = new StringBuffer();
for( int i = 0 ; i < m_Data.length ; i++ )
{
if( i != 0 )
b.append( "," );
b.append( m_Data[ i ] );
}
String result = b.toString();
b.setLength( 0 );
return result;
}
public String getKey()
{
return "convolve:"
+ ( m_Enabled ? "enable" : "disable" )
+ ":" + m_ConvolveWidth
+ ":" + m_ConvolveHeight
+ ":" + getDataAsString()
+ ":" + m_Prefix;
}
}