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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* 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.
*
*=========================================================================*/
#include "itkUnsharpMaskLevelSetImageFilter.h"
#include <iostream>
const unsigned int HEIGHT = (128);
const unsigned int WIDTH = (128);
#define RADIUS (std::min(HEIGHT, WIDTH) / 4)
// Distance transform function for square
float
square(unsigned int x, unsigned int y)
{
float X, Y;
X = itk::Math::abs(x - static_cast<float>(WIDTH) / 2.0);
Y = itk::Math::abs(y - static_cast<float>(HEIGHT) / 2.0);
float dis;
if (!((X > RADIUS) && (Y > RADIUS)))
{
dis = RADIUS - std::max(X, Y);
}
else
{
dis = -std::sqrt((X - RADIUS) * (X - RADIUS) + (Y - RADIUS) * (Y - RADIUS));
}
return (dis);
}
// Evaluates a function at each pixel in the itk image
void
evaluate_function(itk::Image<float, 2> * im, float (*f)(unsigned int, unsigned int))
{
itk::Image<float, 2>::IndexType idx;
for (unsigned int x = 0; x < WIDTH; ++x)
{
idx[0] = x;
for (unsigned int y = 0; y < HEIGHT; ++y)
{
idx[1] = y;
im->SetPixel(idx, f(x, y));
}
}
}
int
itkUnsharpMaskLevelSetImageFilterTest(int, char *[])
{
using ImageType = itk::Image<float, 2>;
auto im_init = ImageType::New();
ImageType::RegionType r;
ImageType::SizeType sz = { { HEIGHT, WIDTH } };
ImageType::IndexType idx = { { 0, 0 } };
r.SetSize(sz);
r.SetIndex(idx);
im_init->SetRegions(r);
im_init->Allocate();
evaluate_function(im_init, square);
using FilterType = itk::UnsharpMaskLevelSetImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
filter->SetMaxFilterIteration(99);
filter->SetNormalProcessUnsharpWeight(1);
filter->SetInput(im_init);
std::cout << "max iteration = " << (filter->GetMaxFilterIteration()) << '\n';
std::cout << "Starting processing.\n";
filter->Update();
filter->Print(std::cout);
std::cout << "Passed.\n";
return EXIT_SUCCESS;
}
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