third_party/opencv
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

documentation improvement

Browse Source
This commit is contained in:
Suleyman TURKMEN
2017-08-31 16:39:28 +03:00
parent 05b99a4dde
commit d547c6b1a2
5 changed files with 150 additions and 65 deletions
Download Patch File Download Diff File Expand all files Collapse all files
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
+82 -42
View File
@@ -1,6 +1,6 @@
/**
* @file Sobel_Demo.cpp
* @brief Sample code using Sobel and/or Scharr OpenCV functions to make a simple Edge Detector
* @brief Sample code uses Sobel or Scharr OpenCV functions for edge detection
* @author OpenCV team
*/
@@ -8,70 +8,110 @@
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
/**
* @function main
*/
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv,
"{@input |../data/lena.jpg|input image}"
"{ksize k|1|ksize (hit 'K' to increase its value)}"
"{scale s|1|scale (hit 'S' to increase its value)}"
"{delta d|0|delta (hit 'D' to increase its value)}"
"{help h|false|show help message}");
cout << "The sample uses Sobel or Scharr OpenCV functions for edge detection\n\n";
parser.printMessage();
cout << "\nPress 'ESC' to exit program.\nPress 'R' to reset values ( ksize will be -1 equal to Scharr function )";
//![variables]
Mat src, src_gray;
Mat image,src, src_gray;
Mat grad;
const char* window_name = "Sobel Demo - Simple Edge Detector";
int scale = 1;
int delta = 0;
const String window_name = "Sobel Demo - Simple Edge Detector";
int ksize = parser.get<int>("ksize");
int scale = parser.get<int>("scale");
int delta = parser.get<int>("delta");
int ddepth = CV_16S;
//![variables]
//![load]
String imageName("../data/lena.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread( imageName, IMREAD_COLOR ); // Load an image
String imageName = parser.get<String>("@input"); // by default
image = imread( imageName, IMREAD_COLOR ); // Load an image
if( src.empty() )
{ return -1; }
if( image.empty() )
{
return 1;
}
//![load]
//![reduce_noise]
GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
//![reduce_noise]
for (;;)
{
//![reduce_noise]
GaussianBlur(image, src, Size(3, 3), 0, 0, BORDER_DEFAULT);
//![reduce_noise]
//![convert_to_gray]
cvtColor( src, src_gray, COLOR_BGR2GRAY );
//![convert_to_gray]
//![convert_to_gray]
cvtColor(src, src_gray, COLOR_BGR2GRAY);
//![convert_to_gray]
//![sobel]
/// Generate grad_x and grad_y
Mat grad_x, grad_y;
Mat abs_grad_x, abs_grad_y;
//![sobel]
/// Generate grad_x and grad_y
Mat grad_x, grad_y;
Mat abs_grad_x, abs_grad_y;
/// Gradient X
//Scharr( src_gray, grad_x, ddepth, 1, 0, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_x, ddepth, 1, 0, 3, scale, delta, BORDER_DEFAULT );
/// Gradient X
Sobel(src_gray, grad_x, ddepth, 1, 0, ksize, scale, delta, BORDER_DEFAULT);
/// Gradient Y
//Scharr( src_gray, grad_y, ddepth, 0, 1, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_y, ddepth, 0, 1, 3, scale, delta, BORDER_DEFAULT );
//![sobel]
/// Gradient Y
Sobel(src_gray, grad_y, ddepth, 0, 1, ksize, scale, delta, BORDER_DEFAULT);
//![sobel]
//![convert]
convertScaleAbs( grad_x, abs_grad_x );
convertScaleAbs( grad_y, abs_grad_y );
//![convert]
//![convert]
convertScaleAbs(grad_x, abs_grad_x);
convertScaleAbs(grad_y, abs_grad_y);
//![convert]
//![blend]
/// Total Gradient (approximate)
addWeighted( abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad );
//![blend]
//![blend]
/// Total Gradient (approximate)
addWeighted(abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad);
//![blend]
//![display]
imshow( window_name, grad );
waitKey(0);
//![display]
//![display]
imshow(window_name, grad);
char key = (char)waitKey(0);
//![display]
if(key == 27)
{
return 0;
}
if (key == 'k' || key == 'K')
{
ksize = ksize < 30 ? ksize+2 : -1;
}
if (key == 's' || key == 'S')
{
scale++;
}
if (key == 'd' || key == 'D')
{
delta++;
}
if (key == 'r' || key == 'R')
{
scale = 1;
ksize = -1;
delta = 0;
}
}
return 0;
}