GaussianFilter (Built-in Mathematica Symbol)

GaussianFilter[image, r] filters image by convolving with a Gaussian kernel of pixel radius r.GaussianFilter[image, r, {n_1, n_2}] convolves image with a kernel formed from ...

Linear and Nonlinear Filters (Mathematica Guide)

Mathematica's highly optimized filtering capabilities provide a wide range of linear and modern nonlinear local filters, as well as a variety of nonlocal filters, which can ...

Blur (Built-in Mathematica Symbol)

Blur[image] gives a blurred version of image.Blur[image, r] gives a version of image blurred over pixel radius r.

Sharpen (Built-in Mathematica Symbol)

Sharpen[image] gives a sharpened version of image.Sharpen[image, r] gives a version of image sharpened over pixel radius r.

Data Transforms and Smoothing (Mathematica Guide)

Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that ...

Image Filtering & Neighborhood ... (Mathematica Guide)

Mathematica not only includes highly optimized implementations of standard image processing filters, but also uses its general symbolic architecture to allow arbitrarily ...

Signal Processing (Mathematica Guide)

Mathematica has powerful capabilities for explicit signal processing with large volumes of data, imported and exported in many formats, and for symbolic analysis of signal ...

BilateralFilter (Built-in Mathematica Symbol)

BilateralFilter[image, \[Sigma], \[Mu]] applies a bilateral filter of spatial spread \[Sigma] and pixel value spread \[Mu] to image.

ImageConvolve (Built-in Mathematica Symbol)

ImageConvolve[image, ker] gives the convolution of image with kernel ker.

RidgeFilter (Built-in Mathematica Symbol)

RidgeFilter[image] computes a measure for the presence of a ridge for each pixel in image.RidgeFilter[image, \[Sigma]] uses the specified ridge scale \[Sigma].