Merge pull request #26441 from sturkmen72:upd_tutorials

Update tutorials #26441

### 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 another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

modules/core/include/opencv2/core/mat.hpp

@@ -3556,7 +3556,7 @@ public:
 /** @brief Matrix expression representation
 @anchor MatrixExpressions
 This is a list of implemented matrix operations that can be combined in arbitrary complex
-expressions (here A, B stand for matrices ( Mat ), s for a scalar ( Scalar ), alpha for a
+expressions (here A, B stand for matrices ( cv::Mat ), s for a cv::Scalar, alpha for a
 real-valued scalar ( double )):
 -   Addition, subtraction, negation: `A+B`, `A-B`, `A+s`, `A-s`, `s+A`, `s-A`, `-A`
 -   Scaling: `A*alpha`
@@ -3571,13 +3571,13 @@ real-valued scalar ( double )):
     0.
 -   Bitwise logical operations: `A logicop B`, `A logicop s`, `s logicop A`, `~A`, where *logicop* is one of
   `&`, `|`, `^`.
--   Element-wise minimum and maximum: `min(A, B)`, `min(A, alpha)`, `max(A, B)`, `max(A, alpha)`
--   Element-wise absolute value: `abs(A)`
+-   Element-wise minimum and maximum: cv::min(A, B), cv::min(A, alpha), cv::max(A, B), cv::max(A, alpha)
+-   Element-wise absolute value: cv::abs(A)
 -   Cross-product, dot-product: `A.cross(B)`, `A.dot(B)`
--   Any function of matrix or matrices and scalars that returns a matrix or a scalar, such as norm,
-    mean, sum, countNonZero, trace, determinant, repeat, and others.
+-   Any function of matrix or matrices and scalars that returns a matrix or a scalar, such as cv::norm,
+    cv::mean, cv::sum, cv::countNonZero, cv::trace, cv::determinant, cv::repeat, and others.
 -   Matrix initializers ( Mat::eye(), Mat::zeros(), Mat::ones() ), matrix comma-separated
-    initializers, matrix constructors and operators that extract sub-matrices (see Mat description).
+    initializers, matrix constructors and operators that extract sub-matrices (see cv::Mat description).
 -   Mat_<destination_type>() constructors to cast the result to the proper type.
 @note Comma-separated initializers and probably some other operations may require additional
 explicit Mat() or Mat_<T>() constructor calls to resolve a possible ambiguity.