another attempt to make the MSER test pass. removed possible randomization in parameters from run to run

added reasonable test for MSER (including coverage for http://code.opencv.org/issues/4273, http://code.opencv.org/issues/1723 and http://code.opencv.org/issues/756); also, added some "in-progress" info to the Features2d_Feature2d.no_crash test.

to compensate for neon ieee754 non-compliancy.
Also changed the comparison between max valid and calculated distance to
make the error message more accurate (in case curMaxDist == maxDist)

quickly corrected the previous refactoring of features2d: moved from set(SOME_PROP, val) to setSomeProp(val)

OpenCV with the refactored features2d compiles! contrib is broken for now; the tests are not tried yet

OpenCV with the refactored features2d compiles! contrib is broken for now; the tests are not tried yet

Implemented as a new optional parameter for
the constructor of the ORB detector. The
change of this parameter has been included
in the orb unit test.

1. someMatrix.data -> someMatrix.prt()
2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex )
3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>()
4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions

1) Clean-up from the unused code
2) Remove of SURF extraction method
3) Enabled threading for KAZE extraction
4) Exposed new properties for runtime configuration

Conflicts:

	modules/core/src/stat.cpp

match

radiusMatch

Added the defaultNorm() method to the DescriptorExtractor class. This method returns the default norm type for each descriptor type. The tests and C/C++ samples were updated to get the norm type directly from the DescriptorExtractor inherited classes.

This was reported in feature report #2182 (http://code.opencv.org/issues/2182). It will make it possible to get the norm type usually applied matching method for each descriptor, instead of passing it manually.