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

More info: http://scikit-image.org/docs/0.13.x/api/skimage.feature.html#skimage.feature.corner_kitchen_rosenfeld

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

Type: image

Description: source image to filter

Output ports

result

Type: image

Description: 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