ImageMultiply[image, x] multiplies each channel value in image by a factor x.ImageMultiply[image_1, image_2] gives an image in which each pixel is the product of the ...

Building on Mathematica's unified symbolic architecture, Mathematica 7 introduces several major new integrated forms of data manipulation—including large-scale support for ...

ImageFilter[f, image, r] applies the function f to the range r neighborhood of each pixel in each channel of image.

Mathematica provides broad and deep built-in support for both programmatic and interactive modern industrial-strength image processing —fully integrated with Mathematica's ...

WaveletImagePlot[dwd] plots the basis tree of wavelet image coefficients in the DiscreteWaveletData dwd.WaveletImagePlot[dwd, r] plots coefficients up to refinement level ...

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].

Mathematica provides built-in support for both programmatic and interactive image processing, fully integrated with Mathematica's powerful mathematical and algorithmic ...

Map[f, expr] or f /@ expr applies f to each element on the first level in expr. Map[f, expr, levelspec] applies f to parts of expr specified by levelspec.

ArrayFlatten[{{m_11, m_12, ...}, {m_21, m_22, ...}, ...}] creates a single flattened matrix from a matrix of matrices m i j. ArrayFlatten[a, r] flattens out r pairs of levels ...

The release of Mathematica 6 in May 2007 represented a revolution in the development of Mathematica. Building on this revolution, Mathematica 7 not only greatly broadens and ...