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Smoothing - Wikipedia, the free encyclopedia
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Smoothing
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In
statistics and
image processing, to smooth a
data set is to create an approximating
function that attempts to capture important
patterns in the data, while leaving out
noise or other fine-scale structures/rapid phenomena. Many different
algorithms are used in smoothing. One of the most common algorithms is the "
moving average", often used to try to capture important trends in repeated
statistical surveys. In
image processing and
computer vision, smoothing ideas are used in
scale-space representations.
Smoothing may be distinguished from the related and partially overlapping concept of
curve fitting in the following ways:
curve fitting often involves the use of an explicit function form for the result, whereas the immediate results from smoothing are the "smoothed" values with no later use made of a functional...
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