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/* Sample - Inpainting
* Target is to apply inpainting using F-transform
* on the image "input.png". The image is damaged
* by various types of corruption:
*
* input1 = image & mask1
* input2 = image & mask2
* input3 = image & mask3
*
* Three algorithms "ft::ONE_STEP", "ft::MULTI_STEP"
* and "ft::ITERATIVE" are demonstrated on the
* appropriate type of damage.
*
* ft::ONE_STEP
* "output1_inpaint.png": input1, mask1
*
* ft::MULTI_STEP
* "output2_inpaint.png": input2, mask2
* "output3_inpaint.png": input3, mask3
*
* ft::ITERATIVE
* "output4_inpaint.png": input3, mask3
*
* Linear kernel with radius 2 is used for all
* samples.
*/
#include "opencv2/core.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/fuzzy.hpp"
using namespace std;
using namespace cv;
int main(void)
{
// Input image
Mat I = imread("input.png");
// Various masks
Mat mask1 = imread("mask1.png");
Mat mask2 = imread("mask2.png");
Mat mask3 = imread("mask3.png");
// Apply the damage
Mat input1, input2, input3;
I.copyTo(input1, mask1);
I.copyTo(input2, mask2);
I.copyTo(input3, mask3);
// Inpaint with various algorithm
Mat output1, output2, output3, output4;
ft::inpaint(input1, mask1, output1, 2, ft::LINEAR, ft::ONE_STEP);
ft::inpaint(input2, mask2, output2, 2, ft::LINEAR, ft::MULTI_STEP);
ft::inpaint(input3, mask3, output3, 2, ft::LINEAR, ft::MULTI_STEP);
ft::inpaint(input3, mask3, output4, 2, ft::LINEAR, ft::ITERATIVE);
// Save output
imwrite("output1_inpaint.png", output1);
imwrite("output2_inpaint.png", output2);
imwrite("output3_inpaint.png", output3);
imwrite("output4_inpaint.png", output4);
// Save damaged input for comparison
imwrite("input1.png", input1);
imwrite("input2.png", input2);
imwrite("input3.png", input3);
return 0;
}
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