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/*
 * Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.factory.filter.binary;

import boofcv.alg.filter.binary.ThresholdImageOps;
import boofcv.struct.image.GrayU8;

/**
 * Enum for all the types of thresholding provided in BoofCV
 *
 * @author Peter Abeles
 */
public enum ThresholdType {
	/**
	 * Fixed threshold
	 */
	FIXED(false,true),
	/**
	 * Globally adaptive set using entropy equation
	 *
	 * @see boofcv.alg.filter.binary.GThresholdImageOps#computeEntropy(int[], int, int)
	 */
	GLOBAL_ENTROPY(true,true),
	/**
	 * Globally adaptive set using Otsu's equation
	 *
	 * @see boofcv.alg.filter.binary.GThresholdImageOps#computeOtsu(int[], int, int)
	 */
	GLOBAL_OTSU(true,true),
	/**
	 * Locally adaptive computed using Guassian weights
	 *
	 * @see ThresholdImageOps#localGaussian(GrayU8, GrayU8, int, float, boolean, GrayU8, GrayU8)
	 */
	LOCAL_GAUSSIAN(true,false),
	/**
	 * Locally adaptive computed using Guassian weights
	 *
	 * @see ThresholdImageOps#localSquare(GrayU8, GrayU8, int, float, boolean, GrayU8, GrayU8)
	 */
	LOCAL_SQUARE(true,false),
	/**
	 * Breaks the image into blocks and computes the min and max inside each block.  Then thresholds
	 * each pixel using interpolated min/max values.
	 *
	 * @see boofcv.alg.filter.binary.ThresholdSquareBlockMinMax
	 */
	LOCAL_SQUARE_BLOCK_MIN_MAX(true,false),
	/**
	 * Locally adaptive computed using Savola's method
	 *
	 * @see boofcv.alg.filter.binary.impl.ThresholdSauvola
	 */
	LOCAL_SAVOLA(true,false);

	boolean adaptive;
	boolean global;

	ThresholdType(boolean adaptive, boolean global) {
		this.adaptive = adaptive;
		this.global = global;
	}

	public boolean isAdaptive() {
		return adaptive;
	}

	public boolean isGlobal() {
		return global;
	}
}




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