smoothn
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SMOOTHN Smooth N-D data
Y = SMOOTHN(X, SIZE) smooths input data X. The smoothed data is
retuirned in Y. SIZE sets the size of the convolution kernel
such that LENGTH(SIZE) = NDIMS(X)
Y = SMOOTHN(X, SIZE, FILTER) Filter can be 'gaussian' or 'box' (default)
and determines the convolution kernel.
Y = SMOOTHN(X, SIZE, FILTER, STD) STD is a vector of standard deviations
one for each dimension, when filter is 'gaussian' (default is 0.65)
See also SMOOTH3
(It is an extension of Mathworks' SMOOTH3 from 3 to N dimensions)
Cite As
Anil Gannepalli (2024). smoothn (https://www.mathworks.com/matlabcentral/fileexchange/725-smoothn), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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Acknowledgements
Inspired: fast running mean
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Version | Published | Release Notes | |
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1.0.0.0 |