Routines (alphabetical) > Routines: R > ROBERTS

# ROBERTS

The ROBERTS function returns an approximation to the Roberts edge enhancement operator for images:

where (j, k) are the coordinates of each pixel Fjk in the Image. This is equivalent to a convolution using the masks,

where the underline indicates the current pixel Fjk. The last column and row are set to zero.

## Examples

If the variable `myimage` contains a two-dimensional image array, a Roberts sharpened version of `myimage` can be displayed with the command:

TVSCL, ROBERTS(myimage)

## Syntax

Result = ROBERTS(Image)

## Return Value

ROBERTS returns a two-dimensional array of the same size as Image. If Image is of type byte or integer, then the result is of integer type, otherwise the result is of the same type as Image.

Note: To avoid overflow for integer types, the computation is done using the next larger signed type and the result is transformed back to the correct type. Values larger than the maximum for that integer type are truncated. For example, for integers the function is computed using type long, and on output, values larger than 32767 are set equal to 32767.

## Arguments

### Image

The two-dimensional array containing the image to which edge enhancement is applied.

## Keywords

None.

## Version History

4.0 | Introduced

## See Also

EDGE_DOG, EMBOSS, LAPLACIAN, PREWITT, SHIFT_DIFF, SOBEL