Examples with LocalThresholdMethod net.imagej.ops.threshold.LocalThresholdMethod used on opensource projects

Example 1 with LocalThresholdMethod

use of net.imagej.ops.threshold.LocalThresholdMethod in project imagej-ops by imagej.

the class LocalPhansalkarThreshold method unaryComputer.

@Override
protected CenterAwareComputerOp<T, BitType> unaryComputer(final T inClass, final BitType outClass) {
    final LocalThresholdMethod<T> op = new LocalThresholdMethod<T>() {

        private UnaryComputerOp<Iterable<T>, DoubleType> mean;

        private UnaryComputerOp<Iterable<T>, DoubleType> stdDeviation;

        @Override
        public void compute(final Iterable<T> neighborhood, final T center, final BitType output) {
            if (mean == null) {
                mean = Computers.unary(ops(), Ops.Stats.Mean.class, new DoubleType(), neighborhood);
            }
            if (stdDeviation == null) {
                stdDeviation = Computers.unary(ops(), Ops.Stats.StdDev.class, new DoubleType(), neighborhood);
            }
            final DoubleType meanValue = new DoubleType();
            mean.compute(neighborhood, meanValue);
            final DoubleType stdDevValue = new DoubleType();
            stdDeviation.compute(neighborhood, stdDevValue);
            double threshold = meanValue.get() * (1.0d + p * Math.exp(-q * meanValue.get()) + k * ((stdDevValue.get() / r) - 1.0));
            output.set(center.getRealDouble() >= threshold);
        }
    };
    op.setEnvironment(ops());
    return op;
}

Example 2 with LocalThresholdMethod

use of net.imagej.ops.threshold.LocalThresholdMethod in project imagej-ops by imagej.

the class LocalMeanThreshold method unaryComputer.

@Override
protected CenterAwareComputerOp<T, BitType> unaryComputer(final T inClass, final BitType outClass) {
    final LocalThresholdMethod<T> op = new LocalThresholdMethod<T>() {

        private UnaryComputerOp<Iterable<T>, DoubleType> meanOp;

        @Override
        public void compute(final Iterable<T> neighborhood, final T center, final BitType output) {
            if (meanOp == null) {
                meanOp = Computers.unary(ops(), Ops.Stats.Mean.class, DoubleType.class, neighborhood);
            }
            final DoubleType m = new DoubleType();
            meanOp.compute(neighborhood, m);
            output.set(center.getRealDouble() > m.getRealDouble() - c);
        }
    };
    op.setEnvironment(ops());
    return op;
}

Example 3 with LocalThresholdMethod

use of net.imagej.ops.threshold.LocalThresholdMethod in project imagej-ops by imagej.

the class LocalMedianThreshold method unaryComputer.

@Override
protected CenterAwareComputerOp<T, BitType> unaryComputer(final T inClass, final BitType outClass) {
    final LocalThresholdMethod<T> op = new LocalThresholdMethod<T>() {

        private UnaryComputerOp<Iterable<T>, DoubleType> median;

        @Override
        public void compute(final Iterable<T> neighborhood, final T center, final BitType output) {
            if (median == null) {
                median = Computers.unary(ops(), Ops.Stats.Median.class, DoubleType.class, neighborhood);
            }
            final DoubleType m = new DoubleType();
            median.compute(neighborhood, m);
            output.set(center.getRealDouble() > m.getRealDouble() - c);
        }
    };
    op.setEnvironment(ops());
    return op;
}

Example 4 with LocalThresholdMethod

use of net.imagej.ops.threshold.LocalThresholdMethod in project imagej-ops by imagej.

the class LocalNiblackThreshold method unaryComputer.

@Override
protected CenterAwareComputerOp<T, BitType> unaryComputer(final T inClass, final BitType outClass) {
    final LocalThresholdMethod<T> op = new LocalThresholdMethod<T>() {

        private UnaryComputerOp<Iterable<T>, DoubleType> mean;

        private UnaryComputerOp<Iterable<T>, DoubleType> stdDeviation;

        @Override
        public void compute(final Iterable<T> neighborhood, final T center, final BitType output) {
            if (mean == null) {
                mean = Computers.unary(ops(), Ops.Stats.Mean.class, new DoubleType(), neighborhood);
            }
            if (stdDeviation == null) {
                stdDeviation = Computers.unary(ops(), Ops.Stats.StdDev.class, new DoubleType(), neighborhood);
            }
            final DoubleType m = new DoubleType();
            mean.compute(neighborhood, m);
            final DoubleType stdDev = new DoubleType();
            stdDeviation.compute(neighborhood, stdDev);
            output.set(center.getRealDouble() > m.getRealDouble() + k * stdDev.getRealDouble() - c);
        }
    };
    op.setEnvironment(ops());
    return op;
}

Example 5 with LocalThresholdMethod

use of net.imagej.ops.threshold.LocalThresholdMethod in project imagej-ops by imagej.

the class LocalSauvolaThreshold method unaryComputer.

@Override
protected CenterAwareComputerOp<T, BitType> unaryComputer(final T inClass, final BitType outClass) {
    final LocalThresholdMethod<T> op = new LocalThresholdMethod<T>() {

        private UnaryComputerOp<Iterable<T>, DoubleType> mean;

        private UnaryComputerOp<Iterable<T>, DoubleType> stdDeviation;

        @Override
        public void compute(final Iterable<T> neighborhood, final T center, final BitType output) {
            if (mean == null) {
                mean = Computers.unary(ops(), Ops.Stats.Mean.class, new DoubleType(), neighborhood);
            }
            if (stdDeviation == null) {
                stdDeviation = Computers.unary(ops(), Ops.Stats.StdDev.class, new DoubleType(), neighborhood);
            }
            final DoubleType meanValue = new DoubleType();
            mean.compute(neighborhood, meanValue);
            final DoubleType stdDevValue = new DoubleType();
            stdDeviation.compute(neighborhood, stdDevValue);
            double threshold = meanValue.get() * (1.0d + k * ((Math.sqrt(stdDevValue.get()) / r) - 1.0));
            output.set(center.getRealDouble() >= threshold);
        }
    };
    op.setEnvironment(ops());
    return op;
}