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By default, VS2017 will cause CMake to build 32b.  This fixes that.  The permissive option was removed from non-windows builds as it could cause issues with non-gcc compilers.

I changed the `Readme.md` so that CMake auto-detects the architecture.
I added a switch in `CMakeLists.txt` so that the compiler options are chooses based on the architecture.
I tested the compilation on both Windows 10 and Ubuntu 20.04
Co-authored-by: Paul Bauriegel <paul.bauriegel@telekom.de>

Integral Image optimization has been replaced by the Chan algorithm, a cutting edge algorithm that is up to 3x faster while using only a fraction of the memory... and allows for processing large image files! 

The default grayscale algorithm has also changed from Qt to Mean.

Variance is now calculated using Population Variance instead of Sample Variance.  This only caused a 1 pixel difference with 2 algorithms.

ISauvola has been abstracted so that it is very easy to make "Improved" versions of any algorithm in the list, not just Sauvola.

Python bindings have been added along with a new set of demos for Python / PIL, C++ Qt and OpenCV, and JS with NodeJS and Web.

Updating the same memory has was proven safe in UpdateToBinary(...), so no temporary image is being used anymore. 

A BinarizationFactory class was added to help simplify using the library and for exposing new language bindings.

Adding WASM support to the Doxa framework.  This is driving our web demo.  The Bataineh algorithm was also added, along with other minor improvements.

Added Convolution and Edge Detector classes along with a color distance algorithm for the RGB color space.

Morphology

Cleaned up file existance checking using new filesystem::exists call, which also fixes a build issue with Clang.