Mcc add perf tests improve performance

[AleksandrPanov]

Added perf tests to mcc module.
Also these optimizations have been added:

• added parallel_for_ to performThreshold()
• removed toL/fromL and added dst to avoid copy data
• added parallel_for_ to elementWise() ("batch" optimization improves performance of Windows version, Linux without changes).

Configuration:
Ryzen 5950X, 2x16 GB 3000 MHz DDR4
OS: Windows 10, Ubuntu 20.04.5 LTS

Performance results in milliseconds:

OS and alg version	process, ms	infer, ms
win_default	63.09	457.57
win_optimized_without_batch	48.69	111.78
win_optimized_batch	48.42	47.28
linux_default	50.88	300.7
linux_optimized_batch	36.06	41.62

Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

• I agree to contribute to the project under Apache 2 License.
• 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
• The PR is proposed to the proper branch
• 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

[AleksandrPanov]

This "batch" optimization improves performance in Windows

[dkurt]

Which are common values of num_elements? We can make batch dependent on number of threads:

const int batch = num_elements / max(1, getNumThreads());

or

const int batch = num_elements / (getNumThreads() > 1 ? getNumThreads() * 4 : 1);

instead of 4 you may choose another constant to get batch=128 in you configuration.

[AleksandrPanov]

In your second sample I got the same performance (47 ms) with a constant of 1024.
const int batch = std::max(1, getNumThreads() > 1 ? num_elements / (1024*getNumThreads()) : num_elements);
// if getNumThreads() == 1 -> batch = num_elements

In your first sample const int batch = num_elements / max(1, getNumThreads()); a regression in performance appears (from 47 ms to 57 ms).

[AleksandrPanov]

I would suggest using batch 128, but your second sample would also work.

[AleksandrPanov]

Batch - the minimum required number of consecutive elements in an array that a thread can process at one time.