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Added: Create Gaussian filter
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// Generate Gaussian filter
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#include <cmath>
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#include <iomanip>
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#include <iostream>
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using namespace std;
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// Function to create Gaussian filter
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void FilterCreation(double GKernel[][5])
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{
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// intialising standard deviation to 1.0
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double sigma = 1.0;
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double r, s = 2.0 * sigma * sigma;
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// sum is for normalization
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double sum = 0.0;
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// generating 5x5 kernel
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for (int x = -2; x <= 2; x++) {
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for (int y = -2; y <= 2; y++) {
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r = sqrt(x * x + y * y);
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GKernel[x + 2][y + 2] = (exp(-(r * r) / s)) / (M_PI * s);
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sum += GKernel[x + 2][y + 2];
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}
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}
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// normalising the Kernel
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for (int i = 0; i < 5; ++i)
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for (int j = 0; j < 5; ++j)
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GKernel[i][j] /= sum;
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}
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int main()
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{
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double GKernel[5][5];
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FilterCreation(GKernel);
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for (int i = 0; i < 5; ++i) {
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for (int j = 0; j < 5; ++j)
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cout << GKernel[i][j] << "\t";
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cout << endl;
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}
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}

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