noise_distribution_mean — Determine the noise distribution of an image.
noise_distribution_mean(ConstRegion, Image : : FilterSize : Distribution)
noise_distribution_mean calculates the noise
distribution in a region of the image Image. The
parameter ConstRegion determines a region of the image
with approximately constant gray values. Ideally, the changes in
gray values should only be caused by noise in this region. From
this region the noise distribution is determined by using the
mean_image operator to smooth the image, and to use the gray
value differences in this area as an estimate for the noise
distribution, which is returned in Distribution.
It is important to ensure that the region ConstRegion is
not too close to a large gradient in the image, because the gradient
values are then used for calculating the mean. This means the
distance of ConstRegion must be at least as large as the
filter size FilterSize used for calculating the mean.
ConstRegion (input_object) region(-array) → object
Region from which the noise distribution is to be estimated.
Image (input_object) singlechannelimage → object (byte)
Corresponding image.
FilterSize (input_control) integer → (integer)
Size of the mean filter.
Default value: 21
Suggested values: 5, 11, 15, 21, 31, 51, 101
Typical range of values: 3
≤
FilterSize
≤
501 (lin)
Minimum increment: 2
Recommended increment: 2
Distribution (output_control) distribution.values-array → (real)
Noise distribution of all input regions.
draw_region,
gen_circle,
gen_ellipse,
gen_rectangle1,
gen_rectangle2,
threshold,
erosion_circle,
binomial_filter,
gauss_filter,
smooth_image,
sub_image
mean_image,
gauss_distribution
Foundation