### 8.2. Diferențe gaussiene

#### 8.2.1. Prezentare generală

Fig. 17.169. Exemplu de aplicare a filtrului „Diferențe gaussiene”

Imagine originală

Filtru „Diferențe gaussiene” aplicat cu raza 1 = 1.000 și raza 2 = 0.100.

This filter does edge detection using the so-called „Difference of Gaussians” algorithm, which works by performing two different Gaussian blurs on the image, with a different blurring radius for each, and subtracting them to yield the result.

This algorithm is very widely used in artificial vision, and is pretty fast because there are very efficient methods for doing Gaussian blurs.

#### 8.2.2. Activating the Filter

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

#### 8.2.3. Opțiuni

Fig. 17.170. Opțiuni filtru diferență gaussiană

Presets, „Input Type”, Tăirere, Blending Options, Preview, Merge filter, Split view

  | Notă
  Aceste opțiuni sunt descrise în Secțiune 2, „Caracteristici obișnuite”.

Radius 1, Radius 2

  Radius 1 and Radius 2 are the blurring radii for the two Gaussian blurs. Increasing „Radius1” tends to give thicker-appearing edges, and decreasing the „Radius2” tends to increase the „threshold” for recognizing something as an edge.

  If you want to produce something that looks like a sketch, in most cases setting „Radius2” smaller than „Radius1” will give better results.

  In situations where you have a light figure on the dark background, reversing them may actually improve the result.

8. Filtre detectoare de margini |  | 8.3. Margine

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