Levenhuk C800 NG Digital Camera, USB 2.0 - Manual (Page 85)

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Passes Set the filter applied times on the image. When a filter is applied multiple
times, its effect is amplified by each pass. An image that has been
softened by one pass of the
Low Pass filter will be softened further by a
second pass.
Strength Enter an applied value from 1-10 that reflects how much of the filtering
effect on the image.
A value of 10 specifies the full strength (100%) of the filtered result
applied to each pixel. Values less than 10 cut the full weight of the filter.
A value of 1 indicates that only 10% of the difference between the filtered
pixel value and the original pixel value should be applied, a value of 2
indicates that 20% of the difference should be applied, and so forth.
Rank This value specifies which pixel in the sorted array will be used to replace
the center pixel. Pixels in the array will be sorted in ascending order. The
pixels are indexed from 0 to
Kernel Size x Kernel Size-1. In the pixel index
0 corresponds to the lowest pixel value.
The
Rank will be specified in terms of a percentage of the indexes ( Kernel
Size x Kernel Size -1). A 50% Rank means the middle of the array. 0% rank
means the lowest index (lowest gray value), and 100% rank means the
highest index (highest gray value).
2. If Equalization filters is checked, the options will relate to the histogram
equalization. Local Histogram Equalization modifies the contrast of an image based
on the pixel values in a small window surrounding each pixel.
Window Image pixels statistics (min, max, histogram, mean, standard
deviation, etc.) will be calculated on a small Window of the image.
These measurements are then used to derive the local contrast for that
area of the image. In short, an area of
Window x Window around each
pixel is all that is considered when modifying the intensities in the
image. Larger Window produces smoother results, while small Window
track small details more closely.
Best Fit Choose Best Fit command to optimize the values for the particular
image. The results are achieved by stretching the local histogram to