8.3. Contorni

8.3.1. Panoramica

Figura 17.171. Applying example for the Edge filter

Applying example for the Edge filter

Immagine originale

Applying example for the Edge filter

Filter applied


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

8.3.2. Attivazione del filtro

Questo filtro si trova nel menu principale sotto FiltriRilevamento contorniContorni....

8.3.3. Opzioni

Figura 17.172. Le opzioni del filtro rilevamento contorni

Le opzioni del filtro rilevamento contorni

Preimpostazioni, «Tipo di ingresso», Ritaglio, Opzioni di fusione, Anteprima, Filtro fusione, Dividi vista
[Nota] Nota

Queste opzioni sono descritte in Sezione 2, «Caratteristiche comuni».

Algoritmo

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.

Bussola di Prewitt

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

Gradiente

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

Differenziale

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

Ammontare

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.

Comportamento bordo

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.