CRect is a
bounding rectangle for the CImage
object.CStats:AlphaClipMean and CStats:AlphaClipMeanSdev
The AlphaClipMean method computes the mean value after rejecting the nHigh highest and nLow lowest values from the sample.
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nMean = CStats:AlphaClipMean( CImage, nHigh, nLow, CRect ) nMean = CStats:AlphaClipMean( CImage, nHigh, nLow ) nMean = CStats:AlphaClipMean( CPlotView, nHigh, nLow ) nMean = CStats:AlphaClipMean( table, nHigh, nLow ) |
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nMean, nSdev = CStats:AlphaClipMeanSdev( CImage, nHigh, nLow, CRect ) nMean, nSdev = CStats:AlphaClipMeanSdev( CImage, nHigh, nLow ) nMean, nSdev = CStats:AlphaClipMeanSdev( CPlotView, nHigh, nLow ) nMean, nSdev = CStats:AlphaClipMeanSdev( table, nHigh, nLow ) |
CRect is a
bounding rectangle for the CImage
object.
nHigh and
nLow specify the number of values to
reject from the calculation.
table is a
1-dimensional array containing numbers.
On
success, returns the alpha clipped mean value and standard
deviation.
On
failure, returns 0, 0.
The calculated statistic excludes a specified number of lowest and highest values from the sample. The parameters n and m are known as "alpha" values. In comparison, the MinMaxClippedMean method uses alpha values of 1,1. For example, if nLow=10 andnHigh=20 , then the 10 lowest and 20 highest values in the sample are rejected from the mean value calculation.
When a CPlotView is passed, the only the current CPlot is processed.
This method uses the same algorithm as the AlphaClip method of the CImCombine class.
Suppose a CImage named I and a CRect named R exist. The following script returns the alpha-clipped mean value inside a rectangle on the image:
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-- create a CStats object |
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-- CImage and CRect to be measured |
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-- return the mean value |
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-- list the result |
CStats class, CImage class, CRect class, MinMaxClipMean, SigmaClipMean, RankClipMean, MtmSigmaClipMean
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