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7.3.  Edge

7.3.1.  Overview

Figure 16.138.  Applying example for the Edge filter

Applying example for the Edge filter

Original image

Applying example for the Edge filter

After applying the filter (Sobel option)


Figure 16.139.  Applying examples for the Edge filter

Applying examples for the Edge filter

After applying the filter (Prewitt option)

Applying examples for the Edge filter

After applying the filter (Gradient option)


Figure 16.140.  Applying example for the Edge filter

Applying example for the Edge filter

After applying the filter (Roberts option)

Applying example for the Edge filter

Figure 16.141.  Applying example for the Edge filter

Applying example for the Edge filter

After applying the filter (Laplace option)


7.3.2.  Activate the filter

You can find this filter through FiltersEdge DetectEdge....

7.3.3.  Options

Figure 16.142.  Edge filter options

Edge filter options

Algorithm

Edge detector offers several detection methods:

  • Sobel: Here, this method has no options and so is less interesting than the specific Sobel.

  • Prewitt: Result doesn't look different from Sobel.

  • Gradient: Edges are thinner, less contrasted and more blurred than Sobel.

  • Roberts: No evident difference from Sobel.

  • Differential: Edges less bright.

  • Laplace: Less interesting than the specific one.

Amount

A low value results in black, high-contrasted image with thin edges. A high value results in thick edges with low contrast and many colors in dark areas.

Wrap, Smear, Black

Where the edge detector will get adjoining pixels for its calculations when it is working on the image boundaries. This option will only have an effect on the boundaries of the result (if any). Smear is the default and the best choice.


 
 
  Published under the terms of the GNU General Public License Design by Interspire