# gaussian_filter¶

menpo.feature.gaussian_filter(pixels, sigma)[source]

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

Parameters
• 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.

Returns

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