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OpenCV
3.2.0
Open Source Computer Vision
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An example using the FastLineDetector
#include <iostream>
using namespace std;
int main(int argc, char** argv)
{
std::string in;
cv::CommandLineParser parser(argc, argv,
"{@input|../samples/data/corridor.jpg|input image}{help h||show help message}");
{
return 0;
}
in = parser.
get<
string>(
"@input");
if( image.empty() )
{
return -1;
}
vector<Vec4f> lines_lsd;
int length_threshold = 10;
float distance_threshold = 1.41421356f;
double canny_th1 = 50.0;
double canny_th2 = 50.0;
int canny_aperture_size = 3;
bool do_merge = false;
distance_threshold, canny_th1, canny_th2, canny_aperture_size,
do_merge);
vector<Vec4f> lines_fld;
for(int run_count = 0; run_count < 10; run_count++) {
lines_lsd.clear();
lsd->
detect(image, lines_lsd);
double duration_ms_lsd = double(
getTickCount() - start_lsd) * 1000 / freq;
std::cout << "Elapsed time for LSD: " << duration_ms_lsd << " ms." << std::endl;
lines_fld.clear();
fld->
detect(image, lines_fld);
double duration_ms = double(
getTickCount() - start) * 1000 / freq;
std::cout << "Ealpsed time for FLD " << duration_ms << " ms." << std::endl;
}
Mat line_image_lsd(image);
imshow(
"LSD result", line_image_lsd);
Mat line_image_fld(image);
imshow(
"FLD result", line_image_fld);
return 0;
}
T get(const String &name, bool space_delete=true) const
Access arguments by name.
Definition: utility.hpp:801
int waitKey(int delay=0)
Waits for a pressed key.
virtual void drawSegments(InputOutputArray _image, InputArray lines)=0
Draws the line segments on a given image.
@ IMREAD_GRAYSCALE
If set, always convert image to the single channel grayscale image.
Definition: imgcodecs.hpp:66
int64_t int64
Definition: interface.h:57
virtual void drawSegments(InputOutputArray _image, InputArray lines, bool draw_arrow=false)=0
Draws the line segments on a given image.
virtual void detect(InputArray _image, OutputArray _lines)=0
Finds lines in the input image. This is the output of the default parameters of the algorithm on the ...
Mat imread(const String &filename, int flags=IMREAD_COLOR)
Loads an image from a file.
Template class for smart pointers with shared ownership.
Definition: cvstd.hpp:281
int64 getTickCount()
Returns the number of ticks.
Ptr< FastLineDetector > createFastLineDetector(int _length_threshold=10, float _distance_threshold=1.414213562f, double _canny_th1=50.0, double _canny_th2=50.0, int _canny_aperture_size=3, bool _do_merge=false)
Creates a smart pointer to a FastLineDetector object and initializes it.
virtual void detect(InputArray _image, OutputArray _lines, OutputArray width=noArray(), OutputArray prec=noArray(), OutputArray nfa=noArray())=0
Finds lines in the input image.
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
Definition: deriche_filter.hpp:44
double getTickFrequency()
Returns the number of ticks per second.
n-dimensional dense array class
Definition: mat.hpp:741
Designed for command line parsing.
Definition: utility.hpp:735
Definition: affine.hpp:52
void printMessage() const
Print help message.
Ptr< LineSegmentDetector > createLineSegmentDetector(int _refine=LSD_REFINE_STD, double _scale=0.8, double _sigma_scale=0.6, double _quant=2.0, double _ang_th=22.5, double _log_eps=0, double _density_th=0.7, int _n_bins=1024)
Creates a smart pointer to a LineSegmentDetector object and initializes it.
bool has(const String &name) const
Check if field was provided in the command line.