Member name	Value	Description
mcleqLinear	1	Linear histogram equalization, spreading theintensity histogram evenly from minimum to maximum values.
mcleqBell	2	The redistributed histogram will have a Gaussian bell shape.
mcleqLog	3	The histogram will be given an exponentialdistribution.
mcleqExponential	4	The histogram will be given a logarithmicdistribution.
mcleqBestFit	5	A linear contrast enhancement will be performed basedon the minimum and maximum intensities in the local histogram window. All pixel values within the histogram are linearly mapped from the histogram minimum to maximum onto McImage.RangeMin to McImage.RangeMax.
mcleqStdDev	6	A linear contrast enhancement will be performed basedon the average value in the window plus and minus the standard deviation specified in the StdDev argument. All pixel values within this range are linearly mapped onto McImage.RangeMin to McImage.RangeMax, with values outside the range clipped to those limits. This provides results similar to mcleqBestFit, with less sensitivity to outlier pixel values.