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/*
 * Copyright (c) 2022, 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.alg.disparity.block;

/**
 * 

* Selects the disparity the smallest error and optionally applies several different types of validation to remove false * positives. The two validations it can apply are maxError and texture based. * See {@link SelectDisparityWithChecksWta} for more details on validation checks. *

* * @author Peter Abeles */ public abstract class SelectSparseStandardWta implements DisparitySparseSelect { // found disparity protected double disparity; // maximum allowed error protected int maxError; // Tolerance for right to left validation. Disable with -1 protected int tolRightToLeft; /** * @param maxError Maximum allowed error. See comments above. * @param texture Texture threshold. See comments above. */ protected SelectSparseStandardWta( int maxError, double texture, int tolRightToLeft ) { this.maxError = maxError <= 0 ? Integer.MAX_VALUE : maxError; this.tolRightToLeft = tolRightToLeft; setTexture(texture); } /** * Sets the texture threshold. * * @param texture Texture threshold. */ protected abstract void setTexture( double texture ); /** * Specifies tolerance for right to left validation. * * @param maxError Maximum number of pixels different for right to left validation. If error is < 0 then disabled. */ protected void setValidateRtoL( int maxError ) { this.tolRightToLeft = maxError; } @Override public double getDisparity() { return disparity; } }




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