menpo.feature.gaussian_filter(image, *args, **kwargs)[source]

Calculates the convolution of the input image with a multidimensional Gaussian filter.

  • pixels (Image or subclass or (C, X, Y, ..., Z) ndarray) – Either the image object itself or an array with the pixels. The first dimension is interpreted as channels. This means an N-dimensional image is represented by an N+1 dimensional array.
  • sigma (float or list of float) – The standard deviation for Gaussian kernel. The standard deviations of the Gaussian filter are given for each axis as a list, or as a single float, in which case it is equal for all axes.

output_image (Image or subclass or (X, Y, ..., Z, C) ndarray) – The filtered image has the same type and size as the input pixels.