DIPlib Documentation - ©1995-2017 Quantitative Imaging Group, Delft University of Technology.

# Sigma

Adaptive uniform smoothing filter

## SYNOPSIS

`#include "dip_filtering.h"`

dip_Error dip_Sigma ( in, out, se, boundary, param, shape, sigma, outputCount )

## DATA TYPES

integer, float

## FUNCTION

The Sigma filter is an adaptive `Uniform` smoothing filter. The value of the pixel underinvestigation is replaced by the average of the pixelvalues in the filter region (as specified by `param`, `shape` and `se`) which lie in the interval `+/- 2 sigma` from the value of the pixel that is filtered. If `outputCount` is `DIP_TRUE`, the output values represent the number of pixels over which the average has been calculated. When `threshold` is `DIP_TRUE`, the pixel intensities are thresholded at `+/- 2 sigma`, when it is set to `DIP_FALSE`, the intensities are weighted with the Gaussian difference with the intensity of the center pixel.

Only the rectangular, elliptic and diamond filter shapes are supported (`DIP_FLT_SHAPE_RECTANGULAR`, `DIP_FLT_SHAPE_ELLIPTIC` and `DIP_FLT_SHAPE_DIAMOND`). Other filter shapes can be implemented by setting `shape` to `DIP_FLT_SHAPE_STRUCTURING_ELEMENT`, and passing a binary image in `se`. The "on" pixels define the shape of the filter window. Other values of `shape` are illegal.

If `shape` is not equal to `DIP_FLT_SHAPE_STRUCTURING_ELEMENT`, `se` can be set to zero. When `shape` is set to `DIP_FLT_SHAPE_STRUCTURING_ELEMENT`, `param` is ignored, and can be set to zero.

## ARGUMENTS

Data type | Name | Description
`dip_Image` | `in` | Input image
`dip_Image` | `out` | Output image
`dip_Image` | `se` | Custom filter window (binary)
`dip_BoundaryArray` | `boundary` | Boundary conditions
`dip_FloatArray` | `param` | Filter sizes
`dip_FilterShape` | `shape` | Filter shape
`dip_float` | `sigma` | Sigma
`dip_Boolean` | `outputCount` | Output the Count

The enumerator `dip_FilterShape` contains the following constants:

Name | Description
`DIP_FLT_SHAPE_DEFAULT` | Default filter window, same as `DIP_FLT_SHAPE_RECTANGULAR`
`DIP_FLT_SHAPE_RECTANGULAR` | Rectangular filter window, can be even in size
`DIP_FLT_SHAPE_ELLIPTIC` | Elliptic filter window, always odd in size
`DIP_FLT_SHAPE_DIAMOND` | Diamond-shaped filter window, always odd in size
`DIP_FLT_SHAPE_PARABOLIC` | Parabolic filter window (morphology only)
`DIP_FLT_SHAPE_DISCRETE_LINE` | Rotated line structuring element (morphology only)
`DIP_FLT_SHAPE_INTERPOLATED_LINE` | Rotated line structuring element, through interpolation (morphology only)
`DIP_FLT_SHAPE_PERIODIC_LINE` | (not implemented)
`DIP_FLT_SHAPE_STRUCTURING_ELEMENT` | Use `se` as filter window, can be any size

## LITERATURE

John-Sen Lee, Digital Image Smoothing and the Sigma Filter, Computer Vision, Graphics and Image Processing, 24, 255-269, 1983

## SEE ALSO

`BiasedSigma`, `GaussianSigma`, `Uniform`