boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity Maven / Gradle / Ivy

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BoofCV is an open source Java library for real-time computer vision and robotics applications.
There is a newer version: 1.1.7
/*
 * Copyright (c) 2011-2017, 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.feature.detect.intensity.impl;

import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayS16;

/**
 * 
 * Implementations of {@link boofcv.alg.feature.detect.intensity.HessianBlobIntensity}.
 * 
 *
 * 
 * DO NOT MODIFY.  Code has been automatically generated by {@link GenerateImplHessianBlobIntensity}.
 * 
 *
 * @author Peter Abeles
 */
public class ImplHessianBlobIntensity {

	public static void determinant(GrayF32 featureIntensity , GrayF32 hessianXX, GrayF32 hessianYY , GrayF32 hessianXY ) {
		final int width = hessianXX.width;
		final int height = hessianXX.height;

		if( featureIntensity == null ) {
			featureIntensity = new GrayF32(width,height);
		}

		for( int y = 0; y < height; y++ ) {
			int indexXX = hessianXX.startIndex + y*hessianXX.stride;
			int indexYY = hessianYY.startIndex + y*hessianYY.stride;
			int indexXY = hessianXY.startIndex + y*hessianXY.stride;

			int indexInten = featureIntensity.startIndex + y*featureIntensity.stride;

			for( int x = 0; x < width; x++ ) {
				float dxx = hessianXX.data[indexXX++];
				float dyy = hessianYY.data[indexYY++];
				float dxy = hessianXY.data[indexXY++];

				featureIntensity.data[indexInten++] = dxx*dyy - dxy*dxy;
			}
		}
	}

	public static void trace(GrayF32 featureIntensity , GrayF32 hessianXX, GrayF32 hessianYY ) {
		final int width = hessianXX.width;
		final int height = hessianXX.height;

		if( featureIntensity == null ) {
			featureIntensity = new GrayF32(width,height);
		}

		for( int y = 0; y < height; y++ ) {
			int indexXX = hessianXX.startIndex + y*hessianXX.stride;
			int indexYY = hessianYY.startIndex + y*hessianYY.stride;

			int indexInten = featureIntensity.startIndex + y*featureIntensity.stride;

			for( int x = 0; x < width; x++ ) {
				float dxx = hessianXX.data[indexXX++];
				float dyy = hessianYY.data[indexYY++];

				featureIntensity.data[indexInten++] = dxx + dyy;
			}
		}
	}

	public static void determinant(GrayF32 featureIntensity , GrayS16 hessianXX, GrayS16 hessianYY , GrayS16 hessianXY ) {
		final int width = hessianXX.width;
		final int height = hessianXX.height;

		if( featureIntensity == null ) {
			featureIntensity = new GrayF32(width,height);
		}

		for( int y = 0; y < height; y++ ) {
			int indexXX = hessianXX.startIndex + y*hessianXX.stride;
			int indexYY = hessianYY.startIndex + y*hessianYY.stride;
			int indexXY = hessianXY.startIndex + y*hessianXY.stride;

			int indexInten = featureIntensity.startIndex + y*featureIntensity.stride;

			for( int x = 0; x < width; x++ ) {
				int dxx = hessianXX.data[indexXX++];
				int dyy = hessianYY.data[indexYY++];
				int dxy = hessianXY.data[indexXY++];

				featureIntensity.data[indexInten++] = dxx*dyy - dxy*dxy;
			}
		}
	}

	public static void trace(GrayF32 featureIntensity , GrayS16 hessianXX, GrayS16 hessianYY ) {
		final int width = hessianXX.width;
		final int height = hessianXX.height;

		if( featureIntensity == null ) {
			featureIntensity = new GrayF32(width,height);
		}

		for( int y = 0; y < height; y++ ) {
			int indexXX = hessianXX.startIndex + y*hessianXX.stride;
			int indexYY = hessianYY.startIndex + y*hessianYY.stride;

			int indexInten = featureIntensity.startIndex + y*featureIntensity.stride;

			for( int x = 0; x < width; x++ ) {
				int dxx = hessianXX.data[indexXX++];
				int dyy = hessianYY.data[indexYY++];

				featureIntensity.data[indexInten++] = dxx + dyy;
			}
		}
	}


}