Examples of LUVConverter

Examples of me.uits.aiphial.imaging.LUVConverter

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    }

    private Collection<LuvPoint> readImage(final String filename) throws IOException
    {
        BufferedImage orig = ImageIO.read(new File(filename));
        LUV[][] toLUVDArray = new LUVConverter().toLUVDArray(orig);
        Collection<LuvPoint> luvDArraytoLuvPoints = ImgUtls.luvDArraytoLuvPoints(toLUVDArray);
        return luvDArraytoLuvPoints;
    }
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Examples of me.uits.aiphial.imaging.LUVConverter

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     * @return
     */
    public static LUVHistorgam build(Iterable<LuvPoint> cluster)
    {

        LUVConverter c= new LUVConverter();


        LUVHistorgam h = new LUVHistorgam(COORDCOUNT, SEGMENTSCOUNT);

        for (LuvPoint luvPoint : cluster)
        {
            final LUV lUV = luvPoint.getLUV();
            int ARGB = c.LUVtoARGBint(lUV);

            int a = (ARGB & 0xff000000) >> 24;
            int r = (ARGB & 0x00ff0000) >> 16;
            int g = (ARGB & 0x0000ff00) >> 8;
            int b = (ARGB & 0x000000ff) >> 0;
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Examples of me.uits.aiphial.imaging.LUVConverter

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        this.pattern = LUVHistorgam.build(this.patternCluster);
    }

    public void setPattern(BufferedImage orig)
    {
        LUV[][] toLUVDArray = new LUVConverter().toLUVDArray(orig);
        Collection<LuvPoint> luvDArraytoLuvPoints = ImgUtls.luvDArraytoLuvPoints(toLUVDArray);
        this.patternCluster = luvDArraytoLuvPoints;
        this.pattern = LUVHistorgam.build(this.patternCluster);
    }
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Examples of ru.nickl.meanShift.direct.LUVConverter

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    {
        try
        {
            final BufferedImage image = ImageIO.read(new File("../../images/DSC00104s400.bmp"));
            //final BufferedImage image = ImageIO.read(new File("../images/DSCN4909s100.bmp"));
            LUV[][] LUVArray = new LUVConverter().toLUVDArray(image);
            LuvDataStore dataStore = new LuvDataStore(LUVArray);
            Float[] bandwidth = new SimpleBandwidthSelector().getBandwidth(dataStore);
            MeanShiftClusterer<LuvPoint> clusterer = new MeanShiftClusterer<LuvPoint>();
            clusterer.setDataStore(dataStore);
            clusterer.setWindow(bandwidth);
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