/*
 * #%L
 * ImageJ OPS: a framework for reusable algorithms.
 * %%
 * Copyright (C) 2014 Board of Regents of the University of
 * Wisconsin-Madison and University of Konstanz.
 * %%
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 * 
 * 1. Redistributions of source code must retain the above copyright notice,
 *    this list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 *    this list of conditions and the following disclaimer in the documentation
 *    and/or other materials provided with the distribution.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 * POSSIBILITY OF SUCH DAMAGE.
 * #L%
 */

package imagej.ops.threshold;

import imagej.ops.OpService;
import imagej.ops.statistics.Mean;
import net.imglib2.type.logic.BitType;
import net.imglib2.type.numeric.RealType;
import net.imglib2.type.numeric.real.DoubleType;

import org.scijava.plugin.Parameter;

/**
 * @author Martin Horn
 */
public class LocalMean<T extends RealType<T>> extends LocalThresholdMethod<T> {

	@Parameter
	private double c;

	@Parameter
	private OpService ops;

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

	@Override
	public BitType compute(Pair<T> input, BitType output) {
		if (mean == null) {
			mean = (Mean<Iterable<T>, DoubleType>) ops.op(Mean.class, output, input);
		}
		final DoubleType m = mean.compute(input.neighborhood, new DoubleType());
		output.set(input.pixel.getRealDouble() > m.getRealDouble() - c);
		return output;
	}
}

@@ -1524,16 +1524,38 @@
 shold;%0A%0A
+import imagej.ops.Op;%0A
 import i
@@ -1777,16 +1777,50 @@
 rameter;
+%0Aimport org.scijava.plugin.Plugin;
 %0A%0A/**%0A *
@@ -1844,16 +1844,41 @@
 orn%0A */%0A
+@Plugin(type = Op.class)%0A
 public c

Make LocalMean an Op.