Vertical Sobel

Filters an image using a vertical sobel kernel of size 3x3 or 5x5.

Inputs

Image (Type: Image)

The input image.

KernelSize (Type: Int32)

The kernel size (3 -> 3x3, 5 -> 5x5).

Region (Type: Region)

Specifies an optional area of interest.

Outputs

Image (Type: Image)

The output image.

Comments

The function applies a vertical_sobel filter. The corresponding kernel is either a 3x3 matrix with the following values:

-1 0 1
-2 0 2
-1 0 1

or a 5x5 kernel with the following values:

-1 - 2 0  2  1
-4  -8 0  8  4
-6 -12 0 12  6
-4  -8 0  8  4
-1 - 2 0  2  1

The effect of a vertical sobel filter is that it amplifies vertical edges and attenuates everything else. The strength of the sobel filter depends on the size of the kernel.

Here are a few results of the vertical sobel filter with increasing kernel sizes:

Original:

KernelSize = 3:

KernelSize = 5:

Sample

Here is an example that shows how to use the vertical sobel filter.

Often, you want to combine the horizontal and the vertical sobel filter to create an edge map. A simple way to do this is shown in the following sample:

Here is an example image of such an edge map: