CStats:MaxClipMean and CStats:MaxClipMeanSdev
The MaxClipMean method computes the maximum-clipped mean value for a data object, after rejecting the maximum values of the set.
nMean = CStats:MaxClipMean( CImage, CRect ) nMean = CStats:MaxClipMean( CImage ) nMean = CStats:MaxClipMean( table ) nMean, nSdev = CStats:MaxClipMeanSdev( CImage, CRect ) nMean, nSdev = CStats:MaxClipMeanSdev( CImage ) nMean, nSdev = CStats:MaxClipMeanSdev( table ) |
CRect is a bounding rectangle for the CImage object.
table is a 1-dimensional array containing numbers.
On success, returns the max-clipped mean value as a number.
On failure, returns 0, 0.
The calculated statistic excludes the highest (maximum value) pixel inside the region. Use this method to avoid a biased result when the region is known to contain one deviant, high pixel value.
Suppose a CImage named I and a CRect named R exist. The following script returns the mean value inside a rectangle on the image, discarding the 1 highest pixel value:
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-- create a CStats object |
-- specify CImage and CRect to measure |
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-- returns the mean value |
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-- list the result |
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-- when done with S, remove it from memory |
CStats class, CImage class, CRect class, MinClipMean , MinMaxClipMean
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