List of asProcessed() Examples

Examples of asProcessed()

net.algart.matrices.StreamingApertureProcessor.asProcessed()
Equivalent to {@link #asProcessed(Class,Matrix,List,Pattern) asProcessed}(requiredType, src, {@link Matrices#several(Class,Matrix[]) Matrices.several}(PArray.class), pattern). @param requiredType desired type of the built-in array in the returned matrix. @param src the source matrix M. @param pattern the aperture shape P. @return the "lazy" matrix containing the result of this algorithm. @throws NullPointerException if one of the arguments is null. @throws IllegalArgumentException if the number of the pattern dimensionspattern. {@link Pattern#dimCount() dimCount()} is not equal to src. {@link Matrix#dimCount() dimCount()} or if this implementation requires at least 1 additional matrix.

Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

    @Override
    public Matrix<? extends PArray> asPercentile(
        Matrix<? extends PArray> src, Matrix<? extends PArray> percentileIndexes, Pattern pattern)
    {
        StreamingApertureProcessor percentiler = RankProcessors.getPercentiler(context(), interpolated, bitLevels);
        return percentiler.asProcessed(src.array().type(), src, percentileIndexes, pattern);
    }


    @Override
    public void percentile(Matrix<? extends UpdatablePArray> dest, Matrix<? extends PArray> src,
        Matrix<? extends PArray> percentileIndexes, Pattern pattern)

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Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

        Matrix<? extends PArray> baseMatrix, Matrix<? extends PArray> rankedMatrix, Pattern pattern)
    {
        StreamingApertureProcessor ranker = RankProcessors.getRanker(context(),
            interpolated && PFloatingArray.class.isAssignableFrom(requiredType), bitLevels);
        // if requiredType is not floating-point, interpolation leads to the same ranks
        return ranker.asProcessed(requiredType, baseMatrix, rankedMatrix, pattern);
    }


    @Override
    public void rank(Matrix<? extends UpdatablePArray> dest,
        Matrix<? extends PArray> baseMatrix, Matrix<? extends PArray> rankedMatrix, Pattern pattern)

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Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

        Matrix<? extends PArray> toPercentilesIndexes,
        Pattern pattern, double filler)
    {
        StreamingApertureProcessor averager = RankProcessors.getAveragerBetweenPercentiles(context(), filler,
            interpolated, bitLevels);
        return averager.asProcessed(src.array().type(), src, fromPercentilesIndexes, toPercentilesIndexes, pattern);
    }


    @Override
    public void meanBetweenPercentiles(Matrix<? extends UpdatablePArray> dest, Matrix<? extends PArray> src,
        Matrix<? extends PArray> fromPercentilesIndexes,

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Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

        Matrix<? extends PArray> maxValues,
        Pattern pattern, double filler)
    {
        StreamingApertureProcessor averager = RankProcessors.getAveragerBetweenValues(context(), filler,
            interpolated, bitLevels);
        return averager.asProcessed(src.array().type(), src, minValues, maxValues, pattern);
    }


    @Override
    public void meanBetweenValues(Matrix<? extends UpdatablePArray> dest, Matrix<? extends PArray> src,
        Matrix<? extends PArray> minValues,

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Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

    @Override
    public Matrix<? extends PArray> asFunctionOfSum(Matrix<? extends PArray> src,
        Pattern pattern, Func processingFunc)
    {
        StreamingApertureProcessor averager = RankProcessors.getSummator(context(), processingFunc);
        return averager.asProcessed(src.array().type(), src, pattern);
    }


    @Override
    public void functionOfSum(Matrix<? extends UpdatablePArray> dest, Matrix<? extends PArray> src,
        Pattern pattern, Func processingFunc)

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Examples of net.algart.matrices.StreamingApertureProcessor.asProcessed()

        Matrix<? extends PArray> percentilesIndexes2,
        Pattern pattern, Func processingFunc)
    {
        StreamingApertureProcessor contraster = RankProcessors.getPercentilePairProcessor(context(),
            processingFunc, interpolated, bitLevels);
        return contraster.asProcessed(src.array().type(),
            src, src, percentilesIndexes1, percentilesIndexes2, pattern);
    }


    @Override
    public void functionOfPercentilePair(Matrix<? extends UpdatablePArray> dest, Matrix<? extends PArray> src,

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