CStats:MinClipMean and CStats:MinClipMeanSdev
The MinClipMean method computes the minimum-clipped mean value for a data object after rejecting the lowest value of the set.
nMean = CStats:MinClipMean( CImage, CRect ) nMean = CStats:MinClipMean( CImage ) nMean = CStats:MinClipMean( table ) nMean, nSdev = CStats:MinClipMeanSdev( CImage, CRect ) nMean, nSdev = CStats:MinClipMeanSdev( CImage ) nMean, nSdev = CStats:MinClipMeanSdev( table ) |
CRect is a bounding rectangle for the CImage object.
table is a 1-dimensional array containing numbers.
On success, returns the min-clipped mean value and standard deviation.
On failure, returns 0, 0.
The calculated statistic excludes the lowest (minimum value) pixel inside the region. Use this method to avoid a biased result when the region is known to contain one deviant, low 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 lowest pixel value:
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-- create a CStats object |
-- specify CImage and CRect to measure |
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-- returns the mean value for this CImage and CRect |
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-- list the results |
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-- when done with S, remove it from memory |
CStats class, CImage class, CRect class, MaxClipMean , MinMaxClipMean
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