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45 lines
1.2 KiB
C++
45 lines
1.2 KiB
C++
#include <opencv2/opencv.hpp>
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int main(int argc, char** argv ) {
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// exercise 1
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// matrix M
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float m[] = {1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0};
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cv::Mat M(3, 3, CV_32FC1, m);
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// gaussian filter kernel
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float g[] = {1, 2, 1, 2, 4, 2, 1, 2, 1};
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cv::Mat G(3, 3, CV_32FC1, g);
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G = G * 0.0625;
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// output G
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std::cout << G << std::endl << std::endl;
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// convolve 1.
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cv::Mat M_1;
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cv::filter2D(M, M_1, -1, G, cv::Point(-1, -1), 0, cv::BORDER_CONSTANT);
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// output M_1
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std::cout << M_1 << std::endl << std::endl;
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// convolve 2.
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float g_1[] = {1, 2, 1};
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cv::Mat G_1(1, 3, CV_32FC1, g_1);
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G_1 = G_1 * 0.25;
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float g_2[] = {1, 2, 1};
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cv::Mat G_2(3, 1, CV_32FC1, g_2);
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G_2 = G_2 * 0.25;
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// output G_1, G_2
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std::cout << G_1 << std::endl << std::endl;
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std::cout << G_2 << std::endl << std::endl;
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cv::Mat M_2;
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cv::Mat M_3;
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cv::filter2D(M, M_2, -1, G_1, cv::Point(-1, -1), 0, cv::BORDER_CONSTANT);
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cv::filter2D(M_2, M_3, -1, G_2, cv::Point(-1, -1), 0, cv::BORDER_CONSTANT);
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// output M_3
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std::cout << M_3 << std::endl << std::endl;
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// convolve 3.
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cv::Mat M_4;
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cv::GaussianBlur(M, M_4, cv::Size(3, 3), 0, 0, cv::BORDER_CONSTANT);
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std::cout << M_4 << std::endl << std::endl;
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}
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