mirror of
https://github.com/opencv/opencv.git
synced 2026-07-25 21:33:04 +04:00
Add Java and Python code for the following imgproc tutorials: Finding contours in your image, Convex Hull, Creating Bounding boxes and circles for contours, Creating Bounding rotated boxes and ellipses for contours, Image Moments, Point Polygon Test.
This commit is contained in:
@@ -12,9 +12,8 @@
|
||||
using namespace cv;
|
||||
using namespace std;
|
||||
|
||||
Mat src; Mat src_gray;
|
||||
Mat src_gray;
|
||||
int thresh = 100;
|
||||
int max_thresh = 255;
|
||||
RNG rng(12345);
|
||||
|
||||
/// Function header
|
||||
@@ -25,30 +24,31 @@ void thresh_callback(int, void* );
|
||||
*/
|
||||
int main( int argc, char** argv )
|
||||
{
|
||||
/// Load source image and convert it to gray
|
||||
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
|
||||
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
|
||||
if( src.empty() )
|
||||
/// Load source image and convert it to gray
|
||||
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
|
||||
Mat src = imread( parser.get<String>( "@input" ) );
|
||||
if( src.empty() )
|
||||
{
|
||||
cout << "Could not open or find the image!\n" << endl;
|
||||
cout << "Usage: " << argv[0] << " <Input image>" << endl;
|
||||
return -1;
|
||||
cout << "Could not open or find the image!\n" << endl;
|
||||
cout << "Usage: " << argv[0] << " <Input image>" << endl;
|
||||
return -1;
|
||||
}
|
||||
|
||||
/// Convert image to gray and blur it
|
||||
cvtColor( src, src_gray, COLOR_BGR2GRAY );
|
||||
blur( src_gray, src_gray, Size(3,3) );
|
||||
/// Convert image to gray and blur it
|
||||
cvtColor( src, src_gray, COLOR_BGR2GRAY );
|
||||
blur( src_gray, src_gray, Size(3,3) );
|
||||
|
||||
/// Create Window
|
||||
const char* source_window = "Source";
|
||||
namedWindow( source_window, WINDOW_AUTOSIZE );
|
||||
imshow( source_window, src );
|
||||
/// Create Window
|
||||
const char* source_window = "Source";
|
||||
namedWindow( source_window );
|
||||
imshow( source_window, src );
|
||||
|
||||
createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
|
||||
thresh_callback( 0, 0 );
|
||||
const int max_thresh = 255;
|
||||
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
|
||||
thresh_callback( 0, 0 );
|
||||
|
||||
waitKey(0);
|
||||
return(0);
|
||||
waitKey();
|
||||
return 0;
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -56,41 +56,43 @@ int main( int argc, char** argv )
|
||||
*/
|
||||
void thresh_callback(int, void* )
|
||||
{
|
||||
Mat threshold_output;
|
||||
vector<vector<Point> > contours;
|
||||
vector<Vec4i> hierarchy;
|
||||
/// Detect edges using Canny
|
||||
Mat canny_output;
|
||||
Canny( src_gray, canny_output, thresh, thresh*2 );
|
||||
/// Find contours
|
||||
vector<vector<Point> > contours;
|
||||
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
|
||||
|
||||
/// Detect edges using Threshold
|
||||
threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
|
||||
/// Find contours
|
||||
findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
|
||||
/// Find the rotated rectangles and ellipses for each contour
|
||||
vector<RotatedRect> minRect( contours.size() );
|
||||
vector<RotatedRect> minEllipse( contours.size() );
|
||||
for( size_t i = 0; i < contours.size(); i++ )
|
||||
{
|
||||
minRect[i] = minAreaRect( contours[i] );
|
||||
if( contours[i].size() > 5 )
|
||||
{
|
||||
minEllipse[i] = fitEllipse( contours[i] );
|
||||
}
|
||||
}
|
||||
|
||||
/// Find the rotated rectangles and ellipses for each contour
|
||||
vector<RotatedRect> minRect( contours.size() );
|
||||
vector<RotatedRect> minEllipse( contours.size() );
|
||||
/// Draw contours + rotated rects + ellipses
|
||||
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
|
||||
for( size_t i = 0; i< contours.size(); i++ )
|
||||
{
|
||||
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
|
||||
// contour
|
||||
drawContours( drawing, contours, (int)i, color );
|
||||
// ellipse
|
||||
ellipse( drawing, minEllipse[i], color, 2 );
|
||||
// rotated rectangle
|
||||
Point2f rect_points[4];
|
||||
minRect[i].points( rect_points );
|
||||
for ( int j = 0; j < 4; j++ )
|
||||
{
|
||||
line( drawing, rect_points[j], rect_points[(j+1)%4], color );
|
||||
}
|
||||
}
|
||||
|
||||
for( size_t i = 0; i < contours.size(); i++ )
|
||||
{ minRect[i] = minAreaRect( contours[i] );
|
||||
if( contours[i].size() > 5 )
|
||||
{ minEllipse[i] = fitEllipse( contours[i] ); }
|
||||
}
|
||||
|
||||
/// Draw contours + rotated rects + ellipses
|
||||
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
|
||||
for( size_t i = 0; i< contours.size(); i++ )
|
||||
{
|
||||
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
|
||||
// contour
|
||||
drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
|
||||
// ellipse
|
||||
ellipse( drawing, minEllipse[i], color, 2, 8 );
|
||||
// rotated rectangle
|
||||
Point2f rect_points[4]; minRect[i].points( rect_points );
|
||||
for( int j = 0; j < 4; j++ )
|
||||
line( drawing, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
|
||||
}
|
||||
|
||||
/// Show in a window
|
||||
namedWindow( "Contours", WINDOW_AUTOSIZE );
|
||||
imshow( "Contours", drawing );
|
||||
/// Show in a window
|
||||
imshow( "Contours", drawing );
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user