Example Planar Image

The class MultiSpectral is used to store color images where each color or band is stored as an independent gray scale image. This allows for each band in the image to be independently processed or modified easily. MultiSpectral images are different from how color images are most commonly stored, which is in an interleaved format. The advantage of using independent gray scale images for each band is that they can be easily processed by algorithms written for ImageSingleBand.

In the example code below it is demonstrated how to convert MultiSpectral to and from BufferedImages, how to process each band in a MultiSpectral independently, and how to access the values of pixels inside the MultiSpectral image.

Example File: ExampleMultiSpectralImages.java

Concepts:

• Color image processing

Example Code

	/**
	 * Many operations designed to only work on {@link boofcv.struct.image.ImageSingleBand} can be applied
	 * to a MultiSpectral image by feeding in each band one at a time.
	 */
	public static void independent( BufferedImage input ) {
		// convert the BufferedImage into a MultiSpectral
		MultiSpectral<ImageUInt8> image = ConvertBufferedImage.convertFromMulti(input,null,true,ImageUInt8.class);

		// declare the output blurred image
		MultiSpectral<ImageUInt8> blurred = image.createSameShape();
		
		// Apply Gaussian blur to each band in the image
		for( int i = 0; i < image.getNumBands(); i++ ) {
			// note that the generalized version of BlurImageOps is not being used, but the type
			// specific version.
			BlurImageOps.gaussian(image.getBand(i),blurred.getBand(i),-1,5,null);
		}
		
		// Declare the BufferedImage manually to ensure that the color bands have the same ordering on input
		// and output
		BufferedImage output = new BufferedImage(image.width,image.height,input.getType());
		ConvertBufferedImage.convertTo(blurred, output,true);
		ShowImages.showWindow(input,"Input");
		ShowImages.showWindow(output,"Ouput");
	}

	/**
	 * Values of pixels can be read and modified by accessing the internal {@link boofcv.struct.image.ImageSingleBand}.
	 */
	public static void pixelAccess(  BufferedImage input ) {
		// convert the BufferedImage into a MultiSpectral
		MultiSpectral<ImageUInt8> image = ConvertBufferedImage.convertFromMulti(input,null,true,ImageUInt8.class);

		int x = 10, y = 10;

		// to access a pixel you first access the gray image for the each band
		for( int i = 0; i < image.getNumBands(); i++ )
			System.out.println("Original "+i+" = "+image.getBand(i).get(x,y));

		// change the value in each band
		for( int i = 0; i < image.getNumBands(); i++ )
			image.getBand(i).set(x, y, 100 + i);

		// to access a pixel you first access the gray image for the each band
		for( int i = 0; i < image.getNumBands(); i++ )
			System.out.println("Result   "+i+" = "+image.getBand(i).get(x,y));
	}

	/**
	 * There is no real perfect way that everyone agrees on for converting color images into gray scale
	 * images.  Two examples of how to convert a MultiSpectral image into a gray scale image are shown 
	 * in this example.
	 */
	public static void convertToGray( BufferedImage input ) {
		// convert the BufferedImage into a MultiSpectral
		MultiSpectral<ImageUInt8> image = ConvertBufferedImage.convertFromMulti(input,null,true,ImageUInt8.class);
		
		ImageUInt8 gray = new ImageUInt8( image.width,image.height);
		
		// creates a gray scale image by averaging intensity value across pixels
		GPixelMath.averageBand(image, gray);
		BufferedImage outputAve = ConvertBufferedImage.convertTo(gray,null);

		// create an output image just from the first band
		BufferedImage outputBand0 = ConvertBufferedImage.convertTo(image.getBand(0),null);

		ShowImages.showWindow(outputAve,"Average");
		ShowImages.showWindow(outputBand0,"Band 0");
	}
	
	public static void main( String args[] ) {
		BufferedImage input = UtilImageIO.loadImage("../data/applet/apartment_building_02.jpg");

		// Uncomment lines below to run each example

		ExampleMultiSpectralImages.independent(input);
//		ExampleMultiSpectralImages.pixelAccess(input);
//		ExampleMultiSpectralImages.convertToGray(input);
	}