Example Planar Image

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The class Planar is used to store color images where each color or band is stored as an independent gray scale image. The advantage of using independent gray scale images for each band is that they can be easily processed by algorithms written for ImageGray.

In the example code below it is demonstrated how to convert Planar to and from BufferedImages, how to process each band independently, and how to access the pixel values.

Example File: ExamplePlanarImages.java

Concepts:

  • Color image processing

Example Code

/**
 * <p>
 * {@link Planar} images are one way in which color images can be stored and manipulated inside
 * of BoofCV.  Inside of a Planar image each color band is stored as an independent {@link ImageGray}.
 * This is unlike the more common interleaved format where color information is stored in adjacent bytes in
 * the same image.
 * </p>
 *
 * <p>
 * The main advantage of {@link Planar} is the ease at which gray scale operations can be applied to each
 * band independently with no additional code.  This is particularly useful in a library,
 * such as BoofCV, which is heavily focused on gray scale image processing and computer vision. The are also
 * situations for some scientific applications where processing each band independently makes more sense.
 * </p>
 *
 * @author Peter Abeles
 */
public class ExamplePlanarImages {

	public static ListDisplayPanel gui = new ListDisplayPanel();

	/**
	 * Many operations designed to only work on {@link ImageGray} can be applied
	 * to a Planar image by feeding in each band one at a time.
	 */
	public static void independent( BufferedImage input ) {
		// convert the BufferedImage into a Planar
		Planar<GrayU8> image = ConvertBufferedImage.convertFromPlanar(input,null,true,GrayU8.class);

		// declare the output blurred image
		Planar<GrayU8> 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);

		gui.addImage(input,"Input");
		gui.addImage(output,"Gaussian Blur");
	}

	/**
	 * Values of pixels can be read and modified by accessing the internal {@link ImageGray}.
	 */
	public static void pixelAccess(  BufferedImage input ) {
		// convert the BufferedImage into a Planar
		Planar<GrayU8> image = ConvertBufferedImage.convertFromPlanar(input,null,true,GrayU8.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 Planar image into a gray scale image are shown
	 * in this example.
	 */
	public static void convertToGray( BufferedImage input ) {
		// convert the BufferedImage into a Planar
		Planar<GrayU8> image = ConvertBufferedImage.convertFromPlanar(input,null,true,GrayU8.class);

		GrayU8 gray = new GrayU8( 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);

		// convert to gray scale but weigh each color band based on how human vision works
		ColorRgb.rgbToGray_Weighted(image, gray);
		BufferedImage outputWeighted = ConvertBufferedImage.convertTo(gray,null);

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

		gui.addImage(outputAve,"Gray Averaged");
		gui.addImage(outputWeighted,"Gray Weighted");
		gui.addImage(outputBand0,"Band 0");
	}
	
	public static void main( String args[] ) {
		BufferedImage input = UtilImageIO.loadImage(UtilIO.pathExample("apartment_building_02.jpg"));

		// Uncomment lines below to run each example

		ExamplePlanarImages.independent(input);
		ExamplePlanarImages.pixelAccess(input);
		ExamplePlanarImages.convertToGray(input);

		ShowImages.showWindow(gui,"Color Planar Image Examples",true);
	}
}