Merge pull request #21407 from sensyn-robotics:feature/weighted_hough

Feature: weighted Hough Transform #21407

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.markdown

@@ -83,7 +83,7 @@ Arranging the terms: \f$r = x \cos \theta + y \sin \theta\f$
 
 ### Standard and Probabilistic Hough Line Transform
 
-OpenCV implements two kind of Hough Line Transforms:
+OpenCV implements three kind of Hough Line Transforms:
 
 a.  **The Standard Hough Transform**
 
@@ -97,6 +97,12 @@ b.  **The Probabilistic Hough Line Transform**
     of the detected lines \f$(x_{0}, y_{0}, x_{1}, y_{1})\f$
 -   In OpenCV it is implemented with the function **HoughLinesP()**
 
+c.  **The Weighted Hough Transform**
+
+-   Uses edge intensity instead binary 0 or 1 values in standard Hough transform.
+-   In OpenCV it is implemented with the function **HoughLines()** with use_edgeval=true.
+-   See the example in samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp.
+
 ###  What does this program do?
     -   Loads an image
     -   Applies a *Standard Hough Line Transform* and a *Probabilistic Line Transform*.