Corner detection¶
Detects corners in the incoming image
Documentation¶
Algorithms¶
- FAST
Corner detection using the FAST (Feature from Accelerated Segment Test) method.
- n:
Number of points out of 16 that should be all brighter ordarker than test point. (default 12)
- threshold:
Threshold used in determining wheter the pixels are darker orbrighter (default 0.15). Decrease threshold when more corners are desired
More info: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_fast
- harris
Compute corner harris response image.
- harris method:
Method to compute response image from auto-correlationmatrix
- k:
Sensitivity factor to separate corners from edges, typically in range [0, 0.2]. Small values of k result in detection of sharp corners.
- eps:
Normalisation factor (Nobles corner measure)
- sigma:
Standard deviation used for the Gaussian kernel, which is used as weighting function for the auto-correlation matrix.
More info: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_harris
- KR
Compute Kitchen-Rosenfeld corner measure response image
- k:
Value outside image borders when method constant is used.
- border mode:
Method for handling values outside the borders
- moravec
Compute Moravec corner measure response image.
This is one of the simplest corner detectors and is comparatively fast but has several limitations (e.g. not rotation invariant).
- window size:
Size of window used during calculations
More info: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_moravec
- ST
Compute Shi-Tomasi (Kanade-Tomasi) corner measure responseimage. Uses information from auto-correlation matrix
- sigma:
Standard deviation used for the Gaussian kernel, which is used as weighting function for the auto-correlation matrix.
More info: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_shi_tomasi
Definition¶
Input ports¶
- source image
source image to filter
Output ports¶
- result image
result after filtering
Configuration¶
- Algorithm (algorithm)
(no description)
- border mode (border mode)
(no description)
- eps (eps)
(no description)
- harris method (harris method)
(no description)
- k (k)
(no description)
- n (n)
(no description)
- sigma (sigma)
(no description)
- threshold (threshold)
(no description)
- window size (window size)
(no description)
Implementation¶
- class node_detection_filters.CornerDetection[source]