### 8.2. Gaussisk differens

#### 8.2.1. Översikt

Figur 17.169. Tillämpar exempel för filtret ”Gaussisk differens”

Ursprunglig bild

Filtret ”Gaussisk differens” tillämpat med radie 1 = 1,000 and radie 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. Aktivera filtret

Detta filter hittas i huvudmenyn under Filter → Leta kanter → Gaussisk differens….

#### 8.2.3. Alternativ

Figur 17.170. Alternativ för filtret Gaussisk differens

Förinställningar, ”Indatatyp”, Klippning, Toningsalternativ, Förhandsvisning, Sammanfoga filter, Dela vy

  | Notera
  Dessa alternativ beskrivs i Avsnitt 2, ”Gemensamma funktioner”.

Radie 1, Radie 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. Leta kanter-filter |  | 8.3. Kant

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