- cv::at => cv::Mat::at()
- removed unnecessary @ref

find innercircle of contour by using pointPolygonTest: (#12206)

* doc: add new tutorial motion deblur filter

* Update motion_deblur_filter.markdown

a few minor changes

* doc: fix English gramma in tutorial out-of-focus-deblur filter

* Update out_of_focus_deblur_filter.markdown

slightly modified one sentence

except header file with conversion routines (will be removed in OpenCV 4.0)

* Added a mall note describing BUILD_opencv_world cmake option to the Installation in Windows tutorial.

* Made slight changes in BUILD_opencv_world documentation.

* Update windows_install.markdown

improved grammar

OpenCV 3.4.3

Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`

In this tutorial you will learn:
- what is a degradation image model
- what is a PSF of an out-of-focus image
- how to restore a blurred image
- what is the Wiener filter

      - Changing the contrast and brightness of an image!
      - Operations with images

Add Java and Python code for AKAZE local features matching tutorial. Fix incorrect uses of Mat.mul() in Java code.

Uniform Lowe's ratio test in the code.

Add Java and Python code for Image Segmentation with Distance Transform and Watershed Algorithm tutorial. Use more Pythonic code.

Add Java and Python code for the following imgproc tutorials: Finding contours in your image, Convex Hull, Creating Bounding boxes and circles for contours, Creating Bounding rotated boxes and ellipses for contours, Image Moments, Point Polygon Test.

OpenCV 3.4.2

Add LD_PRELOAD instruction to be able to run Java code that calls OpenCV functions that use the Intel MKL library.

Other links:
- https://raw.githubusercontent.com/opencv/opencv/master
- https://github.com/opencv/opencv/blob/master

Add Java and Python code for the following features2d tutorials: Harris corner detector, Shi-Tomasi corner detector, Creating your own corner detector, Detecting corners location in subpixels, Feature Detection, Feature Description, Feature Matching with FLANN, Features2D + Homography to find a known object. Use Lowe's ratio test to filter the matches.

Add Java and Python code for the following imgproc tutorials: Affine Transformations, Histogram Equalization, Histogram Calculation, Histogram Comparison, Back Projection.

Add Java and Python code for the following imgproc tutorials: Canny, Remap, threshold and threshold inRange. Use HSV colorspace instead of RGB for inRange threshold tutorial.

* Custom deep learning layers support

* Stack custom deep learning layers

  * remove NVidia and Nvidia
  * replace Cuda with CUDA
  * keep the letters for API

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