CImCombine:MmClip

The MmClip method merges the pixel values after clipping the maximum and minimum values from the distribution at each point.

Syntax

CImage = CImCombine:MmClip( CImageSet )

bullet.gif    CImageSet contains the collection of images to be combined.

bullet.gif    CImage is a new image created by this method.

bullet.gif    On success, this method returns a new CImage.

bullet.gif    On failure, this method returns nil.

Remarks

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.

Example

Suppose a CImageSet named S exists. The following script combines the images by the MmClip method. The images are normalized by the Median statistic computed inside the central 10% of the image:

C = new_imcombine()

-- create a CImCombine object

R = new_rect(10,50,10,50)

-- central 10% of the image

C:SetRelRect( R )

-- specify CImage and CRect to measure

C:SetNormStat("median")

-- use the MmClip as the normalization statistic

C:SetNormMethod("scale")

-- scale to normalize the image set

I = C:MmClip( S )

-- combine the image set and return a new image

I:Display()

-- show the new image

C:delete()

-- when done with S, remove it from memory

Related Topics

CImCombine class, CImageSet class, CImage class, CRect class


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