/*
* 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.alg.feature.describe.impl;
import boofcv.alg.feature.describe.DescribePointPixelRegionNCC;
import boofcv.struct.feature.NccFeature;
import boofcv.struct.image.GrayF32;
/**
* Implementation of {@link boofcv.alg.feature.describe.DescribePointPixelRegionNCC}.
*
* @author Peter Abeles
*/
public class ImplDescribePointPixelRegionNCC_F32 extends DescribePointPixelRegionNCC<GrayF32> {
public ImplDescribePointPixelRegionNCC_F32(int regionWidth, int regionHeight) {
super(regionWidth, regionHeight);
}
@Override
public void process(int c_x, int c_y, NccFeature desc) {
double mean = 0;
int centerIndex = image.startIndex + c_y*image.stride + c_x;
for( int i = 0; i < offset.length; i++ ) {
mean += desc.value[i] = image.data[centerIndex + offset[i]];
}
mean /= offset.length;
double variance = 0;
for( int i = 0; i < desc.value.length; i++ ) {
double d = desc.value[i] -= mean;
variance += d*d;
}
variance /= offset.length;
desc.mean = mean;
desc.sigma = Math.sqrt(variance);
}
}