additional changes

pull/20797/head
Suleyman TURKMEN 4 years ago
parent 9b76872708
commit 259c39a63a
  1. 7
      modules/imgproc/include/opencv2/imgproc.hpp
  2. 4
      modules/imgproc/src/lsd.cpp

@ -1228,6 +1228,9 @@ An example using the LineSegmentDetector
/** @brief Line segment detector class
following the algorithm described at @cite Rafael12 .
@note Implementation has been removed from OpenCV version 3.4.6 to 3.4.15 and version 4.1.0 to 4.5.3 due original code license conflict.
restored again after [Computation of a NFA](https://github.com/rafael-grompone-von-gioi/binomial_nfa) code published under the MIT license.
*/
class CV_EXPORTS_W LineSegmentDetector : public Algorithm
{
@ -1241,8 +1244,8 @@ public:
@param image A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use:
`lsd_ptr-\>detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);`
@param lines A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where
Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
@param lines A vector of Vec4f elements specifying the beginning and ending point of a line. Where
Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
oriented depending on the gradient.
@param width Vector of widths of the regions, where the lines are found. E.g. Width of line.
@param prec Vector of precisions with which the lines are found.

@ -191,8 +191,8 @@ public:
* If only a roi needs to be selected, use
* lsd_ptr->detect(image(roi), ..., lines);
* lines += Scalar(roi.x, roi.y, roi.x, roi.y);
* @param _lines Return: A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line.
* Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end.
* @param _lines Return: A vector of Vec4f elements specifying the beginning and ending point of a line.
* Where Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end.
* Returned lines are strictly oriented depending on the gradient.
* @param width Return: Vector of widths of the regions, where the lines are found. E.g. Width of line.
* @param prec Return: Vector of precisions with which the lines are found.

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