ImageBinaryGreyFeature.java

package com.github.axet.lookup.common;

import java.awt.image.BufferedImage;
import java.util.Arrays;
import java.util.List;

/**
 * Container for ImageBinary and Feature class for each channel (one gray channel here)
 * 
 * @author axet
 *
 */
public class ImageBinaryGreyFeature implements ImageBinaryFeature {

    public RGBImage image;
    public ImageBinaryChannelFeature grey;

    List<ImageBinaryChannelFeature> list;

    public ImageBinaryGreyFeature(BufferedImage img, double threshold) {
        init(img);

        FeatureSet lr = new FeatureSetAuto(grey, threshold);
        grey.init(lr);

    }

    public void init(BufferedImage img) {
        image = new RGBImage();
        grey = new ImageBinaryChannelFeature();

        list = Arrays.asList(new ImageBinaryChannelFeature[] { grey });

        this.image.init(img);
        this.grey.initBase(this.image.r);

        for (int x = 0; x < this.image.cx; x++) {
            for (int y = 0; y < this.image.cy; y++) {
                this.image.step(x, y);
                this.grey.step(x, y);
            }
        }

        grey.zeroMean = new ImageZeroMean();
        grey.zeroMean.init(grey.integral);

        for (int x = 0; x < this.image.cx; x++) {
            for (int y = 0; y < this.image.cy; y++) {
                grey.zeroMean.step(x, y);
            }
        }

        grey.zeroMeanIntegral = new IntegralImage();
        grey.zeroMeanIntegral.initBase(grey.zeroMean);

        for (int x = 0; x < this.image.cx; x++) {
            for (int y = 0; y < this.image.cy; y++) {
                grey.zeroMeanIntegral.step(x, y);
            }
        }
    }

    public int getWidth() {
        return image.cx;
    }

    public int getHeight() {
        return image.cy;
    }

    public int size() {
        return image.cx * image.cy;
    }

    public BufferedImage getImage() {
        return image.buf;
    }

    @Override
    public List<ImageBinaryChannelFeature> getFeatureChannels() {
        return list;
    }

}