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125 lines
3.0 KiB
C++
125 lines
3.0 KiB
C++
/**
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* @file Sobel_Demo.cpp
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* @brief Sample code uses Sobel or Scharr OpenCV functions for edge detection
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* @author OpenCV team
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*/
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#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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cv::CommandLineParser parser(argc, argv,
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"{@input |../data/lena.jpg|input image}"
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"{ksize k|1|ksize (hit 'K' to increase its value)}"
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"{scale s|1|scale (hit 'S' to increase its value)}"
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"{delta d|0|delta (hit 'D' to increase its value)}"
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"{help h|false|show help message}");
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cout << "The sample uses Sobel or Scharr OpenCV functions for edge detection\n\n";
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parser.printMessage();
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cout << "\nPress 'ESC' to exit program.\nPress 'R' to reset values ( ksize will be -1 equal to Scharr function )";
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//![variables]
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// First we declare the variables we are going to use
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Mat image,src, src_gray;
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Mat grad;
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const String window_name = "Sobel Demo - Simple Edge Detector";
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int ksize = parser.get<int>("ksize");
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int scale = parser.get<int>("scale");
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int delta = parser.get<int>("delta");
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int ddepth = CV_16S;
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//![variables]
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//![load]
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String imageName = parser.get<String>("@input");
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// As usual we load our source image (src)
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image = imread( imageName, IMREAD_COLOR ); // Load an image
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// Check if image is loaded fine
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if( image.empty() )
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{
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printf("Error opening image: %s\n", imageName.c_str());
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return 1;
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}
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//![load]
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for (;;)
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{
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//![reduce_noise]
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// Remove noise by blurring with a Gaussian filter ( kernel size = 3 )
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GaussianBlur(image, src, Size(3, 3), 0, 0, BORDER_DEFAULT);
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//![reduce_noise]
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//![convert_to_gray]
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// Convert the image to grayscale
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cvtColor(src, src_gray, COLOR_BGR2GRAY);
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//![convert_to_gray]
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//![sobel]
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/// Generate grad_x and grad_y
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Mat grad_x, grad_y;
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Mat abs_grad_x, abs_grad_y;
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/// Gradient X
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Sobel(src_gray, grad_x, ddepth, 1, 0, ksize, scale, delta, BORDER_DEFAULT);
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/// Gradient Y
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Sobel(src_gray, grad_y, ddepth, 0, 1, ksize, scale, delta, BORDER_DEFAULT);
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//![sobel]
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//![convert]
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// converting back to CV_8U
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convertScaleAbs(grad_x, abs_grad_x);
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convertScaleAbs(grad_y, abs_grad_y);
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//![convert]
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//![blend]
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/// Total Gradient (approximate)
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addWeighted(abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad);
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//![blend]
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//![display]
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imshow(window_name, grad);
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char key = (char)waitKey(0);
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//![display]
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if(key == 27)
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{
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return 0;
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}
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if (key == 'k' || key == 'K')
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{
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ksize = ksize < 30 ? ksize+2 : -1;
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}
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if (key == 's' || key == 'S')
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{
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scale++;
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}
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if (key == 'd' || key == 'D')
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{
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delta++;
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}
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if (key == 'r' || key == 'R')
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{
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scale = 1;
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ksize = -1;
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delta = 0;
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}
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}
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return 0;
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}
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