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CImCombine:MmClip
The MmClip method merges the pixel values after clipping the maximum and minimum values from the distribution at each point.
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CImage = CImCombine:MmClip( CImageSet ) |
CImageSet contains the collection of images to be
combined.
CImage is a new image created by this method.
On success,
this method returns a new CImage.
On failure,
this method returns nil.
Each pixel in the output image is the mean value of all images after rejection of the 1 highest and 1 lowest values at each location. This is equivalent to the AlphaClip method with nHigh=1 and nLow=1. To work properly, the images must be normalized as part of the combining.
Suppose a CImageSet named S exists. The following script fragment combines the images by the MmClip method. The images are normalized by the Median statistic computed inside the central 10% of the image:
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C = CImCombine:new() |
-- create a CImCombine object |
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R = CRect:new(10,50,10,50) |
-- central 10% of the image |
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C:SetRelRect( R ) |
-- specify CImage and CRect to measure |
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C:SetNormStat("median") |
-- use the MmClip as the normalization statistic |
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C:SetNormMethod("scale") |
-- scale to normalize the image set |
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I = C:MmClip( S ) |
-- combine the image set and return a new image |
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I:Display() |
-- show the new image |
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C:delete() |
-- when done with S, remove it from memory |