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com.aspose.imaging.masking.options

Class AutoMaskingArgs

  • All Implemented Interfaces:
    IMaskingArgs

    public class AutoMaskingArgs
extends Object
implements IMaskingArgs

    Represents the arguments that are specified for automated masking methods

    See Also:
    IMaskingArgs
    Code example:

    This example shows how to decompose a raster image into multiple images using image masking and the K-means segmentation algorithm. Image masking is an image processing technique that is used to split the background from the foreground image objects.

    String dir = "c:\\temp\\";

com.aspose.imaging.RasterImage image = (com.aspose.imaging.RasterImage) com.aspose.imaging.Image.load(dir + "Blue hills.png");
try {
    com.aspose.imaging.masking.options.AutoMaskingArgs args = new com.aspose.imaging.masking.options.AutoMaskingArgs();

    // Set the number of clusters (separated objects). The default value is 2, the foreground object and the background.
    args.setNumberOfObjects(3);

    // Set the maximum number of iterations.
    args.setMaxIterationNumber(50);

    // Set the precision of segmentation method (optional)
    args.setPrecision(1);

    // Each cluster (segment) will be stored to a separate PNG file.
    com.aspose.imaging.imageoptions.PngOptions exportOptions = new com.aspose.imaging.imageoptions.PngOptions();
    exportOptions.setColorType(com.aspose.imaging.fileformats.png.PngColorType.TruecolorWithAlpha);
    exportOptions.setSource(new com.aspose.imaging.sources.StreamSource(new java.io.ByteArrayInputStream(new byte[0])));

    com.aspose.imaging.masking.options.MaskingOptions maskingOptions = new com.aspose.imaging.masking.options.MaskingOptions();

    // Use K-means clustering.
    // K-means clustering allows to split image into several independent clusters (segments).
    maskingOptions.setMethod(com.aspose.imaging.masking.options.SegmentationMethod.KMeans);
    maskingOptions.setDecompose(true);
    maskingOptions.setArgs(args);

    // The backgroung color will be orange.
    maskingOptions.setBackgroundReplacementColor(com.aspose.imaging.Color.getOrange());
    maskingOptions.setExportOptions(exportOptions);

    // Create an instance of the ImageMasking class.
    com.aspose.imaging.masking.ImageMasking masking = new com.aspose.imaging.masking.ImageMasking(image);

    // Divide the source image into several clusters (segments).
    com.aspose.imaging.masking.result.MaskingResult[] maskingResults = masking.decompose(maskingOptions);

    // Obtain images from masking result and save them to PNG.
    for (int i = 0; i < maskingResults.length; i++) {
        String outputFileName = String.format("Blue hills.Segment%s.png", maskingResults[i].getObjectNumber());
        com.aspose.imaging.Image resultImage = maskingResults[i].getImage();
        try {
            resultImage.save(dir + outputFileName);
        } finally {
            resultImage.dispose();
        }
    }
} finally {
    image.dispose();
}

    • Constructor Detail

      • AutoMaskingArgs

        public AutoMaskingArgs()

    • Method Detail

      • getNumberOfObjects

        public final int getNumberOfObjects()

        Gets the number of objects to separate initial image to (optional), default value is 2 (object and background).

        Value: The number of objects.
        Returns:
        the number of objects to separate initial image to (optional), default value is 2 (object and background).

      • setNumberOfObjects

        public final void setNumberOfObjects(int value)

        Sets the number of objects to separate initial image to (optional), default value is 2 (object and background).

        Value: The number of objects.
        Parameters:
        value - the number of objects to separate initial image to (optional), default value is 2 (object and background).

      • getObjectsRectangles

        public final Rectangle[] getObjectsRectangles()

        Gets the objects rectangles that belong to separated objects (optional). This parameter is used to increase segmentation method precision.

        Value: The objects rectangles.
        Returns:
        the objects rectangles that belong to separated objects (optional).

      • setObjectsRectangles

        public final void setObjectsRectangles(Rectangle[] value)

        Sets the objects rectangles that belong to separated objects (optional). This parameter is used to increase segmentation method precision.

        Value: The objects rectangles.
        Parameters:
        value - the objects rectangles that belong to separated objects (optional).

      • getObjectsPoints

        public final Point[][] getObjectsPoints()

        Gets the points that belong to separated objects (optional) NumberOfObjects coordinates that belong to NumberOfObjects objects of initial image. This parameter is used to increase segmentation method precision.

        Value: The objects points.
        Returns:
        the points that belong to separated objects (optional) NumberOfObjects coordinates that belong to NumberOfObjects objects of initial image.

      • setObjectsPoints

        public final void setObjectsPoints(Point[][] value)

        Sets the points that belong to separated objects (optional) NumberOfObjects coordinates that belong to NumberOfObjects objects of initial image. This parameter is used to increase segmentation method precision.

        Value: The objects points.
        Parameters:
        value - the points that belong to separated objects (optional) NumberOfObjects coordinates that belong to NumberOfObjects objects of initial image.

      • getOrphanedPoints

        public final Point[] getOrphanedPoints()

        Gets the points that no longer belong to any object (optional). This parameter is used only in case of re-segmentation.

        Value: The orphaned points.
        Returns:
        the points that no longer belong to any object (optional).

      • setOrphanedPoints

        public final void setOrphanedPoints(Point[] value)

        Sets the points that no longer belong to any object (optional). This parameter is used only in case of re-segmentation.

        Value: The orphaned points.
        Parameters:
        value - the points that no longer belong to any object (optional).

      • getPrecision

        public final double getPrecision()

        Gets the precision of segmentation method (optional).

        Value: The precision of segmentation method (optional).
        Returns:
        the precision of segmentation method (optional).

      • setPrecision

        public final void setPrecision(double value)

        Sets the precision of segmentation method (optional).

        Value: The precision of segmentation method (optional).
        Parameters:
        value - the precision of segmentation method (optional).

      • getMaxIterationNumber

        public final int getMaxIterationNumber()

        Gets the maximum number of iterations.

        Value: The maximum maximum number of iterations.
        Returns:
        the maximum number of iterations.

      • setMaxIterationNumber

        public final void setMaxIterationNumber(int value)

        Sets the maximum number of iterations.

        Value: The maximum maximum number of iterations.
        Parameters:
        value - the maximum number of iterations.