LaplacianGaussianFilter[image, r] convolves image with a Laplacian of Gaussian kernel of pixel radius r. LaplacianGaussianFilter[image, {r, \[Sigma]}] convolves image with a ...

CrossingDetect[image] gives a binary image in which white pixels correspond to the zero crossings in image. CrossingDetect[image, delta] treats values in image that are ...

Using a variety of state-of-the-art methods, Mathematica provides immediate functions for detecting and extracting features in images and other arrays of data. Mathematica ...

LaplacianFilter[image, r] convolves image with a range-r Laplacian kernel. LaplacianFilter[image, {r_1, r_2}] uses ranges r_i in the vertical and horizontal directions. ...

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

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 ...

ContourDetect[image] gives a binary image in which white pixels correspond to the zeros and zero crossings in image. ContourDetect[image, delta] treats values in image that ...

GradientFilter[image, r] gives an image corresponding to the magnitude of the gradient of image, computed using discrete derivatives of a Gaussian of pixel radius r. ...

DistanceTransform[image] gives the distance transform of image, in which the value of each pixel is replaced by its distance to the nearest background pixel. ...