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;

Minor changes to IPP implementations;

Removed IPP port for tiny arithm.cpp functions

Additional warnings fix on various platforms.

Build without OPENCL and GCC warnings fixed

Fixed warnings, trailing spaces and removed unused secure_cpy.

IPP code refactored.

IPP code path  implemented as separate static functions to simplify future work with IPP code and make it more readable.

Conflicts:
	modules/gpu/perf/perf_imgproc.cpp

Cast a long integer to double explicitly.

Conflicts:
	modules/python/src2/cv2.cpp

Cast some matrix sizes to type int.

Change some vector mask types to unsigned.

Conflicts:
	modules/core/src/arithm.cpp

- Gaussian blur;
- CascadeClassifier;
- Blenders in stitching module;
- Laplacial pyromids in stitching module.

IPP can be switched on and off on runtime;

Optional implementation collector was added (switched off by default in CMake). Gathers data of implementation used in functions and report this info through performance TS;

TS modifications for implementations control;

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

Moved new kernels under conditional compilation to disable their build for 3-channel images; added condition to use new kernels only for images that are big enough

Added new Intel-optimized 3x3 and 5x5 kernels to medianFilter.cl file and corresponding code to host in smooth.cpp

Only Intel platform and 1 channel images are supported.

Consistent with the test made in cv::boxFilter, it adjusts the kernel size to the source size only if the border is not BORDER_CONSTANT and if BORDER_ISOLATED is set. Otherwise, the source has to be considered possibly in a larger image (i.e. the source being a ROI) in witch the kernel should apply.