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/*
 * Copyright (c) 2011-2014, 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.InterpolatePixelS;
import boofcv.struct.convolve.KernelContinuous1D_F32;
import boofcv.struct.image.ImageSInt16;
import boofcv.struct.image.ImageType;

/**
 * 

* Performs interpolation by convolving a continuous-discrete function across the image. Borders are handled by * re-normalizing. It is assumed that the kernel will sum up to one. This is particularly * important for the unsafe_get() function which does not re-normalize. *

* *

* DO NOT MODIFY: Generated by {@link GenerateImplInterpolatePixelConvolution}. *

* * @author Peter Abeles */ public class ImplInterpolatePixelConvolution_S16 implements InterpolatePixelS { // kernel used to perform interpolation private KernelContinuous1D_F32 kernel; // input image private ImageSInt16 image; // minimum and maximum allowed pixel values private float min,max; public ImplInterpolatePixelConvolution_S16(KernelContinuous1D_F32 kernel , float min , float max ) { this.kernel = kernel; this.min = min; this.max = max; } @Override public void setImage(ImageSInt16 image ) { this.image = image; } @Override public ImageSInt16 getImage() { return image; } @Override public float get(float x, float y) { if( x < 0 || y < 0 || x > image.width-1 || y > image.height-1 ) throw new IllegalArgumentException("Pixel out of bounds. "+x+" "+y); int xx = (int)x; int yy = (int)y; final int radius = kernel.getRadius(); final int width = kernel.getWidth(); int x0 = xx - radius; int x1 = x0 + width; int y0 = yy - radius; int y1 = y0 + width; if( x0 < 0 ) x0 = 0; if( x1 > image.width ) x1 = image.width; if( y0 < 0 ) y0 = 0; if( y1 > image.height ) y1 = image.height; float value = 0; float totalWeightY = 0; for( int i = y0; i < y1; i++ ) { int indexSrc = image.startIndex + i*image.stride + x0; float totalWeightX = 0; float valueX = 0; for( int j = x0; j < x1; j++ ) { float w = kernel.compute(j-x); totalWeightX += w; valueX += w * (image.data[ indexSrc++ ]); } float w = kernel.compute(i-y); totalWeightY += w; value += w*valueX/totalWeightX; } value /= totalWeightY; if( value > max ) return max; else if( value < min ) return min; else return value; } @Override public float get_fast(float x, float y) { int xx = (int)x; int yy = (int)y; final int radius = kernel.getRadius(); final int width = kernel.getWidth(); int x0 = xx - radius; int x1 = x0 + width; int y0 = yy - radius; int y1 = y0 + width; float value = 0; for( int i = y0; i < y1; i++ ) { int indexSrc = image.startIndex + i*image.stride + x0; float valueX = 0; for( int j = x0; j < x1; j++ ) { float w = kernel.compute(j-x); valueX += w * (image.data[ indexSrc++ ]); } float w = kernel.compute(i-y); value += w*valueX; } if( value > max ) return max; else if( value < min ) return min; else return value; } @Override public boolean isInFastBounds(float x, float y) { float r = kernel.getRadius(); return (x-r >= 0 && y-r >= 0 && x+r < image.width && y+r getImageType() { return ImageType.single(ImageSInt16.class); } }




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