Examples of javax.media.jai.Histogram

javax.media.jai.Histogram
This class represents a histogram accumulated from a RenderedImage.
A "bin" is a container, where each element stores the total number of pixel samples of an image whose values lie within a given range. A histogram of an image consists of a list of such bins whose range does not overlap with each other (mutually exclusive). For an image that has multiple samples per pixel (multi-banded images), a separate list of bins represents each individual band.
A "low-value" specifies the lowest inclusive pixel value to be checked, and a "high-value" specifies the highest exclusive pixel value to be checked. Therefore, the width of a bin (binWidth) is determined by (highValue - lowValue) / numberOfBins. The range of bin i is defined as from lowValue + i * binWidth inclusive to lowValue + (i + 1) * binWidth exclusive.
The image may have any data type. Its histogram may be accumulated over the entire image, or over a specific region-of-interest (ROI) within the image's bounds. Furthermore, the horizontal and vertical subsampling factors specify the rate of sampling in the two directions, so that only every nth pixel will be counted. This allows the accuracy of the histogram to be traded for the speed of the computation. Of course a subsampling rate of 1 means every pixel will be counted.
The "Histogram" operator generates the histogram data of an image and uses this object to store the final pixel counts. The operator returns an instance of this class when a request is made via the getProperty method for the "histogram" property. The actual bins may be obtained by calling the getBins method. @see ROI @see javax.media.jai.operator.HistogramDescriptor

            final OperationJAI op = new OperationJAI("Histogram"); //$NON-NLS-1$
            ParameterValueGroup params = op.getParameters();
            params.parameter("Source").setValue(recoloredGridCoverage); //$NON-NLS-1$


            recoloredGridCoverage = (GridCoverage2D) op.doOperation(params, null);
            final Histogram h = (Histogram) recoloredGridCoverage.getProperty("histogram"); //$NON-NLS-1$


            Display.getDefault().asyncExec(new Runnable(){
                public void run() {
                    rgbViewer.updateHistograms(h.getBins());
                }
            });


            return Status.OK_STATUS;
        }

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            new String[]{"512", Integer.toString((512 - splitOffset) / 2),
                         Integer.toString(
                             512 - splitOffset - (512 - splitOffset) / 2),
                         Integer.toString(splitOffset)}
        };
        Histogram histogram[] = new Histogram[4];
        for (int i = 0; i < 4; i++) {
            InputStream stream = TestUtilities.
                doImageTranscodeTest(expectations,
                                     OutputImageRules.GRAYSCALEPNG8, "lena.tiff",
                                     new String[][]{
                                         {"v.width", params[1][i]},
                                         {"v.p", getProtectedArea(
                                             Integer.parseInt(params[1][i]),
                                             params[0][i])}},
                                     true);
            RenderedOp image = JAI.create("ImageRead", ImageIO.createImageInputStream(stream));
            // Create the parameter block.
            PlanarImage dst = null;
            ParameterBlock pb = new ParameterBlock();
            pb.addSource(image);               // Specify the source image
            pb.add(null);                      // No ROI
            pb.add(1);                         // Sampling
            pb.add(1);                         // periods
            // Perform the histogram operation.
            dst = JAI.create("histogram", pb, null);
            
            // Retrieve the histogram data.
            Histogram hist = (Histogram) dst.getProperty("histogram");
            histogram[i] = hist;
        }
        for (int i = 0; i < 256; i++) {
            assertEquals(histogram[0].getBinSize(0, i),
                         histogram[1].getBinSize(0, i) +

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        if (numBins <= 0) {
            return;
        }


        Histogram histogram = _imageHistogram.getHistogram(_rescaledSourceImage, numBins, _minValue, _maxValue, _roi, _xPeriod, _yPeriod);


        // find out how many pixel we actually counted (may be significant numbers of blanks)
        int npixels = 0;
        int[] bins = histogram.getBins(0);
        double binWidth = (_maxValue - _minValue) / numBins;
        for (int i = 0; i < numBins; i++) {
            npixels += bins[i];
        }

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        }
        colorCurveSelectionCombo.setSelectedIndex( chan );
        int[] histData = null;
        if ( previewImage != null ) {
            if ( channelHistType[chan] != null ) {
                Histogram h = previewImage.getHistogram( channelHistType[chan] );
                if ( h != null ) {
                    if ( channelHistBand[chan] == -1 ) {
                    /*
                     TODO: All histogram bands should be shown. Currently
                     this is not supported by ColorCurvePanel. If the image is
                     black and white, show jus thte value.
                     */
                        if ( h.getNumBands() < 3 ) {
                            histData = h.getBins( 0 );
                        }
                    } else if ( channelHistBand[chan] < h.getNumBands() ) {
                        histData = h.getBins( channelHistBand[chan] );
                    }
                }
            }
        }
        colorCurvePanel1.setHistogram( histData, Color.BLACK );

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        RenderedOp histOp = 
                HistogramDescriptor.create( rawImage, null,
                Integer.valueOf( 1 ), Integer.valueOf( 1 ),
                numBins, lowVal, highVal, null );
        
        Histogram hist = (Histogram) histOp.getProperty( "histogram" );
        histBins = hist.getBins();        
    }

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        double highVal[] = {65535.};
        RenderedOp histOp = HistogramDescriptor.create( lumImg, null,
                Integer.valueOf( 1 ), Integer.valueOf( 1 ),
                numBins, lowVal, highVal, null );
        
        Histogram hist = (Histogram) histOp.getProperty( "histogram" );
        int[][] histBins = hist.getBins();
        
        double logSum = 0.0;
        int pixelCount = 0;
        for ( int n = 0; n < histBins[0].length; n++ ) {
            double l = Math.log1p( n );

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     @return The histogram from last rendering. TODO: Currently returns 
     <code>null</code> if no rendering has been made.
     */
    
    public Histogram getHistogram( String histType ) {
        Histogram ret = null;
        RenderedImage src = null;
        if ( histType.equals( HISTOGRAM_RGB_CHANNELS ) ) {
            // Calculate histogram from the image into which color correction was applied
            src = findNamedRendering( lastRendering, "cropped_image" );
        } else if ( histType.equals( HISTOGRAM_IHS_CHANNELS ) ) {

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            yValues[i] = 0;
        }
        if (factor >= 0.0) {
            Rectangle2D.Double region = imageDisplay.getVisibleArea();
            ROI roi = new ROIShape(region);
            Histogram histogram = imageProcessor.getHistogram(numValues, roi);
            yValues = histogram.getBins(0);
            chart.getXYPlot().setDataset(new SimpleDataset(xValues, yValues));
        }
    }

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        return names;
    }


    protected Object createStatistics(String name) {
        if (name.equalsIgnoreCase("histogram")) {
            return new Histogram(numBins, lowValueFP, highValueFP);
        } else {
            return java.awt.Image.UndefinedProperty;
        }
    }

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    protected void accumulateStatistics(String name,
                                        Raster source,
                                        Object stats) {
        // Get the JAI histogram.
        Histogram histogram = (Histogram)stats;
        int numBands = histogram.getNumBands();
        int[][] histJAI = histogram.getBins();


        // Get the tile bounds.
        Rectangle tileRect = source.getBounds();


        // Get the tile bins.
        int[][] histo;
        if(!reorderBands && tileRect.equals(getBounds())) {
            // Entire image: use the global histogram bins directly.
            histo = histJAI;
        } else {
            // Sub-image: save results for this tile only.
            histo = new int[numBands][];
            for(int i = 0; i < numBands; i++) {
                histo[i] = new int[histogram.getNumBins(i)];
            }
        }


        // Get the mlib image.
        int formatTag = MediaLibAccessor.findCompatibleTag(null, source);

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