.. _`Corner detection`: .. _`syip.corner_detection`: Corner detection ~~~~~~~~~~~~~~~~ .. image:: image_corners.svg :width: 48 Detects corners in the incoming image *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 - `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 - `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. - `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. - `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 .. _FAST: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_fast .. _KR: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_kitchen_rosenfeld .. _ST: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_shi_tomasi .. _harris: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_harris .. _moravec: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_moravec *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) .. automodule:: node_detection_filters .. class:: CornerDetection