Edge: Difference between revisions
Jump to navigation
Jump to search
imported>Scott (New page: ===Purpose=== Edge detection for images. ===Synopsis=== :y = edge(x,options) ===Description=== Edge detection in images. ====Inputs==== * '''x''' = image class 'dataset' or 'double'....) |
imported>Scott No edit summary |
||
| Line 14: | Line 14: | ||
* '''x''' = image class 'dataset' or 'double'. | * '''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 | * '''algorithm''': [ {'Canny'} ] %Canny edge detection | ||
* '''smoothing''': [ {'gaussian'} | 'none' | 'box' | 'triangular'] de-noising or smoothing algorithm to apply prior to edge detection (see SPATIAL_FILTER). | * '''smoothing''': [ {'gaussian'} | 'none' | 'box' | 'triangular'] de-noising or smoothing algorithm to apply prior to edge detection (see SPATIAL_FILTER). | ||
| Line 21: | Line 29: | ||
* '''upper_threshold''': [ 0.95 ], upper threshold. | * '''upper_threshold''': [ 0.95 ], upper threshold. | ||
* '''lower_threshold''': [ 0.9 ], lower threshold. | * '''lower_threshold''': [ 0.9 ], lower threshold. | ||
===See Also=== | ===See Also=== | ||
[[savgol2d]], [[spatial_filter]] | [[savgol2d]], [[spatial_filter]] | ||
Latest revision as of 15:18, 29 September 2009
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.