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/*
* 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.filter.convolve;
import boofcv.alg.InputSanityCheck;
import boofcv.alg.filter.convolve.normalized.ConvolveNormalizedNaive;
import boofcv.alg.filter.convolve.normalized.ConvolveNormalized_JustBorder;
import boofcv.alg.filter.kernel.KernelMath;
import boofcv.struct.convolve.*;
import boofcv.struct.image.*;
/**
* Convolves a kernel across an image and scales the kernel such that the sum of the portion inside
* the image sums up to one.
*
* @author Peter Abeles
*/
public class ConvolveNormalized {
/**
* Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void horizontal(Kernel1D_F32 kernel, GrayF32 image, GrayF32 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width ) {
ConvolveNormalizedNaive.horizontal(kernel,image,dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-4f ) {
Kernel1D_F32 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.horizontal(kernel,image,dest);
ConvolveNormalized_JustBorder.horizontal(kernel,image,dest);
}
}
/**
* Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void horizontal(Kernel1D_F64 kernel, GrayF64 image, GrayF64 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width ) {
ConvolveNormalizedNaive.horizontal(kernel,image,dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-8f ) {
Kernel1D_F64 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.horizontal(kernel,image,dest);
ConvolveNormalized_JustBorder.horizontal(kernel,image,dest);
}
}
/**
* Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void vertical(Kernel1D_F32 kernel, GrayF32 image, GrayF32 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.height ) {
ConvolveNormalizedNaive.vertical(kernel,image,dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-4f ) {
Kernel1D_F32 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.vertical(kernel,image,dest);
ConvolveNormalized_JustBorder.vertical(kernel,image,dest);
}
}
/**
* Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void vertical(Kernel1D_F64 kernel, GrayF64 image, GrayF64 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.height ) {
ConvolveNormalizedNaive.vertical(kernel,image,dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-8f ) {
Kernel1D_F64 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.vertical(kernel,image,dest);
ConvolveNormalized_JustBorder.vertical(kernel,image,dest);
}
}
/**
* Performs a 2D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void convolve(Kernel2D_F32 kernel, GrayF32 image, GrayF32 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width || kernel.width >= image.height ) {
ConvolveNormalizedNaive.convolve(kernel, image, dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-4f ) {
Kernel2D_F32 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.convolve(kernel, image, dest);
ConvolveNormalized_JustBorder.convolve(kernel, image, dest);
}
}
/**
* Performs a 2D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void convolve(Kernel2D_F64 kernel, GrayF64 image, GrayF64 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width || kernel.width >= image.height ) {
ConvolveNormalizedNaive.convolve(kernel, image, dest);
} else {
if( Math.abs(kernel.computeSum() - 1.0f) > 1e-8f ) {
Kernel2D_F64 k = kernel.copy();
KernelMath.normalizeSumToOne(k);
kernel = k;
}
ConvolveImageNoBorder.convolve(kernel, image, dest);
ConvolveNormalized_JustBorder.convolve(kernel, image, dest);
}
}
/**
* Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void horizontal(Kernel1D_I32 kernel, GrayU8 image, GrayI8 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width ) {
ConvolveNormalizedNaive.horizontal(kernel, image, dest);
} else {
ConvolveImageNoBorder.horizontal(kernel, image, dest, kernel.computeSum());
ConvolveNormalized_JustBorder.horizontal(kernel, image, dest);
}
}
/**
* Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void vertical(Kernel1D_I32 kernel, GrayU8 image, GrayI8 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.height ) {
ConvolveNormalizedNaive.vertical(kernel, image, dest);
} else {
ConvolveImageNoBorder.vertical(kernel, image, dest, kernel.computeSum());
ConvolveNormalized_JustBorder.vertical(kernel, image, dest);
}
}
/**
* Performs a 2D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void convolve(Kernel2D_I32 kernel, GrayU8 image, GrayI8 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width || kernel.width >= image.height ) {
ConvolveNormalizedNaive.convolve(kernel, image, dest);
} else {
ConvolveImageNoBorder.convolve(kernel, image, dest, kernel.computeSum());
ConvolveNormalized_JustBorder.convolve(kernel, image, dest);
}
}
/**
* Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void horizontal(Kernel1D_I32 kernel, GrayS16 image, GrayI16 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width ) {
ConvolveNormalizedNaive.horizontal(kernel, image, dest);
} else {
ConvolveImageNoBorder.horizontal(kernel, image, dest, kernel.computeSum());
ConvolveNormalized_JustBorder.horizontal(kernel, image, dest);
}
}
/**
* Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void horizontal(Kernel1D_I32 kernel, GrayS32 image, GrayS32 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width ) {
ConvolveNormalizedNaive.horizontal(kernel, image, dest);
} else {
ConvolveImageNoBorder.horizontal(kernel, image, dest, kernel.computeSum());
ConvolveNormalized_JustBorder.horizontal(kernel, image, dest);
}
}
/**
* Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void vertical(Kernel1D_I32 kernel, GrayS16 image, GrayI16 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.height ) {
ConvolveNormalizedNaive.vertical(kernel,image,dest);
} else {
ConvolveImageNoBorder.vertical(kernel,image,dest,kernel.computeSum());
ConvolveNormalized_JustBorder.vertical(kernel,image,dest);
}
}
/**
* Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void vertical(Kernel1D_I32 kernel, GrayS32 image, GrayS32 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.height ) {
ConvolveNormalizedNaive.vertical(kernel,image,dest);
} else {
ConvolveImageNoBorder.vertical(kernel,image,dest,kernel.computeSum());
ConvolveNormalized_JustBorder.vertical(kernel,image,dest);
}
}
/**
* Performs a 2D convolution across the image while re-normalizing the kernel depending on its
* overlap with the image.
*
* @param image The original image. Not modified.
* @param dest Where the resulting image is written to. Modified.
* @param kernel The kernel that is being convolved. Not modified.
*/
public static void convolve(Kernel2D_I32 kernel, GrayS16 image, GrayI16 dest ) {
InputSanityCheck.checkSameShape(image, dest);
if( kernel.width >= image.width || kernel.width >= image.height ) {
ConvolveNormalizedNaive.convolve(kernel,image,dest);
} else {
ConvolveImageNoBorder.convolve(kernel,image,dest,kernel.computeSum());
ConvolveNormalized_JustBorder.convolve(kernel,image,dest);
}
}
}
