Clean Imgproc module about opencv HOT 4 OPEN

@crackwitz, thanks! I have a better implementation of a part of the drawing functions based on the supersampling idea, hopefully that would solve some of the problems.

for 3D visualization we have a pending PR with a lot of new stuff: #20371. Any help in finalizing that PR is greatly appreciated.

regarding overloaded functions with subpixel-accurate coordinates as float's - yes, that should be rather easy to implement.

There should be several subsequent feature requests to improve, not just cleanup, imgproc. They will touch batch processing, parallel implementation of filters etc. You are welcome to submit "drawing" stuff related feature request(s)

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@dkurt Can I work with you guys in this?

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May I also suggest completely redoing all the drawing primitive calls?

• cv::line() doesn't produce lines that are anywhere near the requested thickness

• Circles are lumpy, as seen in cv::getStructuringElement()

• No way to draw flat-shaded or textured triangles/polygons in 2D or 3D-orthogonal projection. At least drawing a single textured triangle should be available, without hacks that involve warpAffine or warpPerspective and leave hairline artefacts.

• No core facility to draw 3D perspective geometry, such as wireframes, single or multiple flat/textured triangles with Z-buffer, perhaps into a Mat that already contains data. It needn't be high performance. It needs to be simple and accessible and always there. All the existing "3D drawing" facilities require external dependencies that don't come with the official opencv-python packages.

• Drawing calls do support sub-pixel coordinates via shift argument, but I find that inconvenient. There should be overloads that take float scalars or float-typed Mats/vectors/numpy arrays.

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@vpisarev I would like to work on this. Can I?

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