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