diff --git a/doc/tutorials/core/how_to_use_OpenCV_parallel_for_new/how_to_use_OpenCV_parallel_for_new.markdown b/doc/tutorials/core/how_to_use_OpenCV_parallel_for_new/how_to_use_OpenCV_parallel_for_new.markdown
index 57334e2b9b..5ef63ed6f4 100644
--- a/doc/tutorials/core/how_to_use_OpenCV_parallel_for_new/how_to_use_OpenCV_parallel_for_new.markdown
+++ b/doc/tutorials/core/how_to_use_OpenCV_parallel_for_new/how_to_use_OpenCV_parallel_for_new.markdown
@@ -14,7 +14,7 @@ Goal
 ----
 
 The goal of this tutorial is to demonstrate the use of the OpenCV `parallel_for_` framework to easily parallelize your code. To illustrate the concept, we will write a program to perform convolution operation over an image.
-The full tutorial code is [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/how_to_use_OpenCV_parallel_for_/how_to_use_OpenCV_parallel_for_new.cpp).
+The full tutorial code is [here](https://github.com/opencv/opencv/blob/4.x/samples/cpp/tutorial_code/core/how_to_use_OpenCV_parallel_for_/how_to_use_OpenCV_parallel_for_new.cpp).
 
 Precondition
 ----
@@ -163,4 +163,4 @@ The performance of the parallel implementation depends on the type of CPU you ha
 
 In the tutorial, we used a horizontal gradient filter(as shown in the animation above), which produces an image highlighting the vertical edges.
 
-![result image](images/resimg.jpg)
\ No newline at end of file
+![result image](images/resimg.jpg)