BlockMean 1.0

Date Added: April 30, 2013 | Visits: 299

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BLOCKMEAN - Fast mean of rectangular submatricesThe mean of V*W elements along the 1st and 2nd dimension is calculated. This is no running mean filter: The sizes of the 1st and 2nd dimension are reduced by the factors V and W.I use this as cheap anti-aliasing of RGB images, therefore it is implemented for DOUBLE and UINT8 input.Y = BlockMean(X, V, W)Input: X: UINT8 or DOUBLE array of any size. V, W: 2 scalars as size of the window. Each element of the output is the mean over V*W neighbouring elements of the input. V and W are limited to 256 to limit memory usage.Output: Y: UINT8 or DOUBLE array, the 1st and 2nd dimensions are V and W times shorter: [FIX(X / V) x FIX(Y / W) x (further dims...)] If the size of the 1st or 2nd dimension is not a multiple of V and W, the remaining elements at the end are skipped.E.g. for 4x4 blocks of a 1024x768x3 double array, this MEX implementation is about 5 times faster than the corresponding Matlab method (Matlab 2009a, 1.5GHz Pentium-M, WinXP, MSVC 2008): reshape(sum(sum(reshape(X, 4, 256, 4, 192, 3), 1), 3), 256, 192, 3).Run the unit-test uTest_BlockMean to check validity and speed.Tested with: LCC v2.4, v3.8, Open Watcom 1.8, BCC 5.5, MSVC 2008, Matlab 6.5, 7.7, 7.8, WinXP 32 bitCompatibility assumed: Linux, MacOS, 64bit.Pre-compiled Mex: http://www.n-simon.de/mexI'd appreciate suggestions for improvements and bug reports sent through email - thanks.

Requirements: No special requirements

Platforms: Matlab

Keyword: 2009a, Ghz, Matlab, Method, Pentiumm, Reshapesumsumreshapex, Unittest, Utest Blockmean, Winxp

Users rating: 0/10

License: Shareware

Size: 10 KB

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