### 8.3. Edge

#### 8.3.1. Overview

Фигура 17.171. Applying example for the Edge filter

Original image

Filter applied

This filter detects edges in an image using the method selected in Algorithm.

#### 8.3.2. Activating the Filter

This filter is found in the main menu under Filters → Edge-Detect → Edge….

#### 8.3.3. Options

Фигура 17.172. Edge filter options

Presets, „Input Type“, Clipping, Blending Options, Preview, Merge filter, Split view

  | Забележка
  These options are described in Раздел 2, „Common Features“.

Algorithm

  The algorithm selected here, determines what method is used to detect edges. The following methods are available:

  Sobel

    This is an alternative version of the separate Sobel filter. Contrary to that filter, this one has no additional settings that can be adjusted. This is the default; an example is shown at the top of the page.

  Prewitt compass

    The Prewitt operator is a relatively fast algorithm, that can be relatively crude for high frequency variations in an image.

    Algorithm set to Prewitt compass

  Gradient

    When using the Gradient algoritm, edges are thinner, less contrasted and more blurred than Sobel.

    Algorithm set to Gradient

  Roberts

    The Roberts algorithm will highlight changes in intensity in a diagonal direction. However, it suffers greatly from sensitivity to noise.

    Algorithm set to Roberts

  Differential

    This algorithm often causes edges to be less bright.

    Algorithm set to Differential

  Laplace

    This is a different implementation of the Laplace filter, that gives different results.

    Algorithm set to Laplace

Amount

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

Border behavior

  This determines where the edge detector will get adjoining pixels for its calculations when it is working on the image boundaries. This setting will only affect the boundaries of the result (if any). Clamp is the default and the best choice in general.

8.2. Difference of Gaussians |  | 8.4. Laplace

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