Fallback to single threaded version of IPP gaussian blur / bilateral filter when the mutlithreaded version cannot be called.

replaced SSE2 code with universal intrinsics; improved accuracy of the box filter; it should now be bit-exact

Updated integrations for:
cv::split
cv::merge
cv::insertChannel
cv::extractChannel
cv::Mat::convertTo - now with scaled conversions support
cv::LUT - disabled due to performance issues
Mat::copyTo
Mat::setTo
cv::flip
cv::copyMakeBorder - currently disabled
cv::polarToCart
cv::pow - ipp pow function was removed due to performance issues
cv::hal::magnitude32f/64f - disabled for <= SSE42, poor performance
cv::countNonZero
cv::minMaxIdx
cv::norm
cv::canny - new integration. Disabled for threaded;
cv::cornerHarris
cv::boxFilter
cv::bilateralFilter
cv::integral

medianBlur called with "empty" source and ksize >= 7 crashes application with accessviolation. With this extra assert this is avoided and the application may normally catch the thrown exception.

* OpenVX HAL updated to use generic OpenVX wrappers

* vxErr class from OpenVX HAL replaced with ivx::WrapperError

* reduced usage of vxImage class from OpenVX HAL replaced with ivx::Image

* vxImage class rewritten as ivx::Image subclass that calls swapHandle prior release

* Fix OpenVX HAL build

* Fix for review comments

Add new 5x5 gaussian blur kernel for CV_8UC1 format,
it is 50% ~ 70% faster than current ocl kernel in the perf test.
Signed-off-by: Li Peng <peng.li@intel.com>

--perf_instrument parameter now has int type and 0, 1, 2 modes (1 - simple trees, 2 - expanded trees for functions with same name but different calling address);

Maximum depth limit var was added to the instrumentation structure;

Trace names output console output fix: improper tree formatting could happen;
Output in case of error was added;

Custom regions improvements;

Improved timing and weight calculation for parallel regions; New TC (threads counter) value to indicate how many different threads accessed particular node;

parallel_for, warnings fixes and ReturnAddress code from Alexander Alekhin;

This ocl kernel is for 3x3 kernel size and CV_8UC1 format
It is 115% ~ 300% faster than current ocl path in perf test

python ./modules/ts/misc/run.py -t imgproc --gtest_filter=OCL_GaussianBlurFixture*
Signed-off-by: Li Peng <peng.li@intel.com>

The optimization is for CV_8UC1 format and 3x3 box filter,
it is 15%~87% faster than current ocl kernel with below perf test

./modules/ts/misc/run.py -t imgproc --gtest_filter=OCL_BlurFixture*

Also add test cases for this ocl kernel.
Signed-off-by: Li Peng <peng.li@intel.com>

reduce scope of "i" variable

* seriously improved performance of blur function, especially 3x3 and 5x5 cases

* trying to fix warnings and test failures

* replaced #if 0 with #if IPP_DISABLE_BLOCK

  * clean up some lines

build for some OCL drivers.
Some OCL vendors treat implicit scalar-vector conversions for
operators as errors when type conversion is required.

dotProd_16s - disabled for IPP 9.0.0;
filter2D - fixed kernel preparation;
morphology - conditions fix and disabled FilterMin and FilterMax for IPP 9.0.0;
GaussianBlur - disabled for CV_8UC1 due to buffer overflow;
integral - disabled for IPP 9.0.0;

IppAutoBuffer class was added;

IPP_VERSION_MAJOR * 100 + IPP_VERSION_MINOR*10 + IPP_VERSION_UPDATE
to manage changes between updates more easily.

IPP_DISABLE_BLOCK was added to ease tracking of disabled IPP functions;