boofcv.alg.distort.ImageDistortBasic_IL Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of ip Show documentation
Show all versions of ip Show documentation
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.distort;
import boofcv.alg.interpolate.InterpolatePixelMB;
import boofcv.struct.image.ImageInterleaved;
/**
* Most basic implementation of {@link ImageDistort} for {@link ImageInterleaved}. Computes the distortion from the
* dst to src image for each pixel. The dst pixel value is then set to the interpolated value of the src image.
*
* @author Peter Abeles
*/
public abstract class ImageDistortBasic_IL
extends ImageDistortBasic> {
// storage for interpolated pixel values
float values[] = new float[0];
/**
* Specifies configuration parameters
*
* @param interp Interpolation algorithm
*/
public ImageDistortBasic_IL(InterpolatePixelMB interp) {
super(interp);
}
@Override
protected void init(Input srcImg, Output dstImg) {
super.init(srcImg,dstImg);
if( values.length != srcImg.getNumBands() ) {
values = new float[ srcImg.getNumBands() ];
}
}
@Override
public void applyAll() {
// todo TO make this faster first apply inside the region which can process the fast border
// then do the slower border thingy
for( int y = y0; y < y1; y++ ) {
int indexDst = dstImg.startIndex + dstImg.stride*y + x0*dstImg.numBands;
for( int x = x0; x < x1; x++ , indexDst += dstImg.numBands ) {
dstToSrc.compute(x,y);
interp.get(dstToSrc.distX, dstToSrc.distY, values);
assign(indexDst,values);
}
}
}
@Override
public void applyOnlyInside() {
float maxWidth = srcImg.getWidth()-1;
float maxHeight = srcImg.getHeight()-1;
for( int y = y0; y < y1; y++ ) {
int indexDst = dstImg.startIndex + dstImg.stride*y + x0*dstImg.numBands;
for( int x = x0; x < x1; x++ , indexDst += dstImg.numBands ) {
dstToSrc.compute(x,y);
if( dstToSrc.distX >= 0 && dstToSrc.distX <= maxWidth &&
dstToSrc.distY >= 0 && dstToSrc.distY <= maxHeight ) {
interp.get(dstToSrc.distX, dstToSrc.distY, values);
assign(indexDst,values);
}
}
}
}
protected abstract void assign( int indexDst , float[] value );
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy