Edge
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Purpose
Edge detection for images.
Synopsis
- y = edge(x,options)
Description
Edge detection in images.
Inputs
- x = image class 'dataset' or 'double'.
Outputs
- y = MxNxP image class 'logical'.
- Pixels == true are on an edge.
- Pixles == flase are not on an edge.
Options
options = a structure array with the following fields:
- algorithm: [ {'Canny'} ] %Canny edge detection
- smoothing: [ {'gaussian'} | 'none' | 'box' | 'triangular'] de-noising or smoothing algorithm to apply prior to edge detection (see SPATIAL_FILTER).
- smoothwin: [ 4 ], input (win) to SPATIAL_FILTER.
- hysteresis_thresholding: [{'yes'} | 'no' ] use hysteresis thresholding?
- upper_threshold: [ 0.95 ], upper threshold.
- lower_threshold: [ 0.9 ], lower threshold.