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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2015, 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.interpolate.impl;
import boofcv.alg.interpolate.PolynomialPixel;
import boofcv.core.image.border.ImageBorder_F32;
import boofcv.struct.image.ImageFloat32;
import boofcv.struct.image.ImageType;
/**
*
* Implementation of {@link PolynomialPixel}.
*
*
* NOTE: This code was automatically generated using {@link GenerateImplPolynomialPixel}.
*
*
* @author Peter Abeles
*/
public class ImplPolynomialPixel_F32 extends PolynomialPixel {
public ImplPolynomialPixel_F32(int maxDegree, float min, float max) {
super(maxDegree, min, max);
}
@Override
public float get(float x, float y) {
if( x < 0 || y < 0 || x > image.width-1 || y > image.height-1 )
return get_border(x,y);
int width = image.getWidth();
int height = image.getHeight();
final int xt = (int) x;
final int yt = (int) y;
// offM makes sure even numbered M will bound the test point with samples
int x0 = xt - M/2 + offM;
int x1 = x0 + M;
int y0 = yt - M/2 + offM;
int y1 = y0 + M;
if( x0 < 0 ) { x0 = 0;}
if( x1 > width) {x1 = width;}
if( y0 < 0 ) { y0 = 0;}
if( y1 > height) {y1 = height;}
final int horizM = x1-x0;
final int vertM = y1-y0;
interp1D.setInput(horiz,horizM);
for( int i = 0; i < vertM; i++ ) {
for( int j = 0; j < horizM; j++ ) {
horiz[j] = image.get(j+x0,i+y0);
}
vert[i]=interp1D.process(x-x0,0,horizM-1);
}
interp1D.setInput(vert,vertM);
float ret = interp1D.process(y-y0,0,vertM-1);
// because it is fitting polynomials it can go above and below max values.
if( ret > max ) {
ret = max;
} else if( ret < min ) {
ret = min;
}
return ret;
}
@Override
public float get_fast(float x, float y) {
int xt = (int) x;
int yt = (int) y;
int x0 = xt - M/2 + offM;
int y0 = yt - M/2 + offM;
interp1D.setInput(horiz,horiz.length);
for( int i = 0; i < M; i++ ) {
for( int j = 0; j < M; j++ ) {
horiz[j] = image.get(j+x0,i+y0);
}
vert[i]=interp1D.process(x-x0,0,M-1);
}
interp1D.setInput(vert,vert.length);
float ret = interp1D.process(y-y0,0,M-1);
// because it is fitting polynomials it can go above or below max or min values.
if( ret > max ) {
ret = max;
} else if( ret < min ) {
ret = min;
}
return ret;
}
public float get_border(float x, float y) {
int xt = (int) Math.floor(x);
int yt = (int) Math.floor(y);
int x0 = xt - M/2 + offM;
int y0 = yt - M/2 + offM;
ImageBorder_F32 border = (ImageBorder_F32)this.border;
interp1D.setInput(horiz,horiz.length);
for( int i = 0; i < M; i++ ) {
for( int j = 0; j < M; j++ ) {
horiz[j] = border.get(j+x0,i+y0);
}
vert[i]=interp1D.process(x-x0,0,M-1);
}
interp1D.setInput(vert,vert.length);
float ret = interp1D.process(y-y0,0,M-1);
// because it is fitting polynomials it can go above or below max or min values.
if( ret > max ) {
ret = max;
} else if( ret < min ) {
ret = min;
}
return ret;
}
@Override
public ImageType getImageType() {
return ImageType.single(ImageFloat32.class);
}
}
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