eliminate_sp
— Replace values outside of thresholds with average value.
eliminate_sp(Image : ImageFillSP : MaskWidth, MaskHeight, MinThresh, MaxThresh : )
The operator eliminate_sp
replaces all gray values outside
the indicated gray value intervals (MinThresh
to
MaxThresh
) with the neighboring mean values. Only those
neighboring pixels which also fall within the gray value interval
are used for averaging. If no such pixel is present in the vicinity
the original gray value is used. The gray values in the input image
falling within the gray value interval are also adopted without
change.
For an explanation of the concept of smoothing filters see the introduction of chapter Filters / Smoothing.
If even values instead of odd values are given for
MaskHeight
or MaskWidth
, the routine uses the
next larger odd values instead (this way the center of the filter
mask is always explicitly determined).
This operator may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Image
(input_object) (multichannel-)image(-array) →
object (byte / uint2)
Input image.
ImageFillSP
(output_object) (multichannel-)image(-array) →
object (byte / uint2)
Smoothed image.
MaskWidth
(input_control) extent.x →
(integer)
Width of filter mask.
Default value: 3
Suggested values: 3, 5, 7, 9, 11
Typical range of values: 3
≤
MaskWidth
≤
512
(lin)
Minimum increment: 2
Recommended increment: 2
Restriction: odd(MaskWidth)
MaskHeight
(input_control) extent.y →
(integer)
Height of filter mask.
Default value: 3
Suggested values: 3, 5, 7, 9, 11
Typical range of values: 3
≤
MaskHeight
≤
512
(lin)
Minimum increment: 2
Recommended increment: 2
Restriction: odd(MaskHeight)
MinThresh
(input_control) integer →
(integer)
Minimum gray value.
Default value: 1
Suggested values: 1, 5, 7, 9, 11, 15, 23, 31, 43, 61, 101
MaxThresh
(input_control) integer →
(integer)
Maximum gray value.
Default value: 254
Suggested values: 5, 7, 9, 11, 15, 23, 31, 43, 61, 101, 200, 230, 250, 254
Restriction: MinThresh <= MaxThresh
read_image(Image,'mreut') dev_display(Image) eliminate_sp(Image,ImageFillSP,3,3,101,201) dev_display(ImageFillSP)
mean_sp
,
mean_image
,
median_image
,
eliminate_min_max
binomial_filter
,
gauss_filter
,
smooth_image
,
anisotropic_diffusion
,
sigma_image
,
eliminate_min_max
Foundation