Examples of java.awt.image.ConvolveOp.filter()

java.awt.image.ConvolveOp.filter()
Performs a convolution on BufferedImages. Each component of the source image will be convolved (including the alpha component, if present). If the color model in the source image is not the same as that in the destination image, the pixels will be converted in the destination. If the destination image is null, a BufferedImage will be created with the source ColorModel. The IllegalArgumentException may be thrown if the source is the same as the destination. @param src the source BufferedImage to filter @param dst the destination BufferedImage for the filtered src @return the filtered BufferedImage @throws NullPointerException if src is null @throws IllegalArgumentException if src equalsdst @throws ImagingOpException if src cannot be filtered

            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.flex.forks.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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        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 )
    {

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            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);


            // Easy case just apply the op...
            destBI = op.filter(srcBI, null);


            if (kernelHasNegValues) {
                // When the kernel has negative values it's possible
                // for the resultant image to have alpha values less
                // than the associated color values this will lead to

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            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);


            // Easy case just apply the op...
            destBI = op.filter(srcBI, null);


        } else {
            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);

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            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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        }
        else {
            float[] softenArray = {0, softenFactor, 0, softenFactor, 1-(softenFactor*4), softenFactor, 0, softenFactor, 0};
            Kernel kernel = new Kernel(3, 3, softenArray);
            ConvolveOp cOp = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
            return new Image(cOp.filter(img, null), sourceType);
        }
    }


    /**
     * Write image to a file. If the supplied File argument includes an extension,

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            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);


            // Easy case just apply the op...
            destBI = op.filter(srcBI, null);


            if (kernelHasNegValues) {
                // When the kernel has negative values it's possible
                // for the resultant image to have alpha values less
                // than the associated color values this will lead to

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            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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            BufferedImage aux = new BufferedImage(this.imagenSinModificar.getWidth(),
                    this.imagenSinModificar.getHeight(),
                    this.imagenSinModificar.getType());


            //Aplicamos la transformacion
            cop.filter(this.imagenTransformada, aux);
            this.imagenTransformada = aux;


            //Comprobamos si es una transformacion de deteccion de fronteras
            //en cuyo caso tenemos que repetir la convolucion pero ahora en vertical
            if (transf >= this.ROBERTS_H && transf <= this.FREICHEN_H) {

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