* Added 2-channel ops to match existing 3-channel and 4-channel ops

* v_load_deinterleave() and v_store_interleave()

* Implements float32x4 only on SSE (but all types on NEON and CPP)

* Includes tests

* Will be used to vectorize 2D functions, such as estimateAffine2D()

 - also some minor changes to the respective sample cpp file

* expose 2 extra methods from ml::TrainData: getNames() and getVarSymbolFlags(). The first one returns text labels from CSV (if the data has been loaded from CSV); the second one returns a matrix of boolean values; its n-th element is 1 iff the corresponding column in the CSV uses symbolic names, not numbers.

* check that the dynamic_cast succeeds

* Add Grana's connected components algorithm for 8-way connectivity. That algorithm is faster than Wu's one (currently implemented in opencv). For more details see https://github.com/prittt/YACCLAB.

* New functions signature and distance transform compatibility

* Add tests to imgproc/test/test_connectedcomponents.cpp

* Change of test_connectedcomponents.cpp for c++98 support

Also put "object" targets to off by default (they doesn't work well)

strong and retain are synonymous but using strong along with  obsolete synonym retain in one file is negligent

Returning to Win2k value is possible via this CMake option:

    cmake -DOPENCV_EXTRA_FLAGS="/D_WIN32_WINNT=0x0500" ...

Enable SSE optimization

  * DRY
  * switch to Cv32suf and remove fp32Int32
  * add Cv16suf

- one test for type_id;
- another for comments in JSON;

Fixes spelling in comment

resolve undeclared identifier close error

The Mat "src_copy" is never used.