CImCombine:MmClip
The MmClip method merges the pixel values after clipping the maximum and minimum values from the distribution at each point.
CImage = CImCombine:MmClip( CImageSet ) |
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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-- create a CImCombine object |
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-- central 10% of the image |
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-- specify CImage and CRect to measure |
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-- use the MmClip as the normalization statistic |
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-- scale to normalize the image set |
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-- combine the image set and return a new image |
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-- show the new image |
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-- when done with S, remove it from memory |