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updated 6 months ago

Easy 'n fast smoothing for 1-D to N-D data by Damien Garcia

SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values (image processing, signal processing, statistics)

smoothn(varargin)

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updated 1 year ago

Simpson's rule for numerical integration by Damien Garcia

The Simpson's rule uses parabolic arcs instead of the straight lines used in the trapezoidal rule (numerical integration)

simps(x,y,dim)

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updated 1 year ago

Noise variance estimation by Damien Garcia

EVAR estimates the noise variance from 1-D to N-D data (signal processing, statistics)

evar(y)

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updated 2 years ago

DCT and DST (+ inverse) in arbitrary dimension by Damien Garcia

Discrete cosine/sine transforms and their inverses (image processing, signal processing)

dct2(y,m,n)

dctn(y,DIM)

dstmtx(n)

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updated 4 years ago

Image segmentation using Otsu thresholding by Damien Garcia

OTSU(I,N) segments the image I into N classes by means of Otsu's N-thresholding method. (image processing, image segmentation, thresholding)

otsu(I,n)

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updated 4 years ago

Hybrid median filtering by Damien Garcia

HMF performs hybrid median filtering of a 2-D array or an RGB image (image processing)

hmf(A,n)

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updated 4 years ago

Resize any arrays and images by Damien Garcia

Y = RESIZE(X,newsize) resizes input array X using a discrete cosine transform. (image processing, resizing, dct)

dctn(y,DIM,w)

idctn(y,DIM,w)

resize(x,newsiz)

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