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

            kernel[i] = 1f / n;
        }


        ConvolveOp blur = new ConvolveOp(new Kernel(blurMagnitude, blurMagnitude,
            kernel), ConvolveOp.EDGE_NO_OP, null);
        bufferedImage = blur.filter(bufferedImage, null);


        this.graphics.drawImage(bufferedImage, 0, 0, null);
    }


    public Bounds getBounds(Component component) {

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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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              0.111f, 0.111f, 0.111f, 
              0.111f, 0.111f, 0.111f, 
          };


        BufferedImageOp op = new ConvolveOp( new Kernel(3, 3, matrix) );
        img = op.filter(img, new BufferedImage(320, 240, BufferedImage.TYPE_INT_ARGB));
        return img;
  }
  
  public int[] convertToBW(int[] greypxls) {
    int[] bwpxls = new int[greypxls.length];

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                      0.111f, 0.111f, 0.111f, 
                      0.111f, 0.111f, 0.111f, 
                  };


                BufferedImageOp op = new ConvolveOp( new Kernel(3, 3, matrix) );
                img = op.filter(img, new BufferedImage(320, 240, BufferedImage.TYPE_INT_ARGB));
                
                int[] argb = img.getRGB(0, 0, 320, 240, null, 0, 320);
                if (mode.equals("calibrate")) {
                  String[] results = oculusImage.findBlobStart(x,y,img.getWidth(), img.getHeight(), argb);
                  autoDock("dockgrabbed calibrate "+results[0]+" "+results[1]+" "+results[2]+" "+results[3]+" "+results[4]+" "+

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            kernel = new Kernel(3, 3, new float[] { -0.25f, -0.5f, -0.25f, -0.5f, 4, -0.5f, -0.25f, -0.5f, -0.25f});
        } else {
            kernel = new Kernel(3, 3, new float[] { -0.5f, -1, -0.5f, -1, 7, -1, -0.5f, -1, -0.5f});
        }
        BufferedImageOp op = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
        return op.filter(tmp, null);
    }


    public void drawErrorTile(BufferedImage img) {
        Graphics g = img.getGraphics();
        g.setColor(Color.RED);

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        g.dispose();


        final float[] softenArray = {0, SOFTEN_FACTOR, 0, SOFTEN_FACTOR, 1 - (SOFTEN_FACTOR * 4), SOFTEN_FACTOR, 0, SOFTEN_FACTOR, 0};
        final Kernel kernel = new Kernel(3, 3, softenArray);
        final ConvolveOp cOp = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
        final BufferedImage filteredBufferedImage = cOp.filter(bufferedImage, null);


        final Iterator it = ImageIO.getImageWritersByFormatName(FORMAT_NAME);
        final ImageWriter writer = (ImageWriter) it.next();
        final ImageWriteParam iwp = writer.getDefaultWriteParam();
        iwp.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);

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            kernel[i] = 1f / n;
        }


        ConvolveOp blur = new ConvolveOp(new Kernel(blurMagnitude, blurMagnitude,
            kernel), ConvolveOp.EDGE_NO_OP, null);
        bufferedImage = blur.filter(bufferedImage, null);


        this.graphics.drawImage(bufferedImage, 0, 0, null);
    }


    @Override

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      }


      Kernel kernel = new Kernel(blurWidth, blurWidth, elements);
      ConvolveOp simpleBlur = new ConvolveOp(kernel);


      simpleBlur.filter(bufferedImage, newImage);
      bufferedImage = newImage;
      dirty = true;
      return this;
   }

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    ConvolveOp gaussianOp1 = new ConvolveOp(gaussianBlur1, ConvolveOp.EDGE_NO_OP, hints);
    ConvolveOp gaussianOp2 = new ConvolveOp(gaussianBlur2, ConvolveOp.EDGE_NO_OP, hints);
    BufferedImage scratchImage = EffectUtil.getScratchImage();
    for (int i = 0; i < blurPasses; i++) {
      gaussianOp1.filter(image, scratchImage);
      gaussianOp2.filter(scratchImage, image);
    }
  }


  /**
   * Get the colour of the shadow generated

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