OpenCV  3.4.11-dev Open Source Computer Vision
cv::line_descriptor::LSDParam Struct Reference

#include <opencv2/line_descriptor/descriptor.hpp>

LSDParam ()

Public Attributes

double ang_th

double density_th

double log_eps

int n_bins

double quant

double scale

double sigma_scale

Lines extraction methodology

The lines extraction methodology described in the following is mainly based on [219] . The extraction starts with a Gaussian pyramid generated from an original image, downsampled N-1 times, blurred N times, to obtain N layers (one for each octave), with layer 0 corresponding to input image. Then, from each layer (octave) in the pyramid, lines are extracted using LSD algorithm.

Differently from EDLine lines extractor used in original article, LSD furnishes information only about lines extremes; thus, additional information regarding slope and equation of line are computed via analytic methods. The number of pixels is obtained using LineIterator. Extracted lines are returned in the form of KeyLine objects, but since extraction is based on a method different from the one used in BinaryDescriptor class, data associated to a line's extremes in original image and in octave it was extracted from, coincide. KeyLine's field class_id is used as an index to indicate the order of extraction of a line inside a single octave.

◆ LSDParam()

 cv::line_descriptor::LSDParam::LSDParam ( )
inline

◆ ang_th

 double cv::line_descriptor::LSDParam::ang_th

◆ density_th

 double cv::line_descriptor::LSDParam::density_th

◆ log_eps

 double cv::line_descriptor::LSDParam::log_eps

◆ n_bins

 int cv::line_descriptor::LSDParam::n_bins

◆ quant

 double cv::line_descriptor::LSDParam::quant

◆ scale

 double cv::line_descriptor::LSDParam::scale

◆ sigma_scale

 double cv::line_descriptor::LSDParam::sigma_scale

The documentation for this struct was generated from the following file: