Corner detection

../../../../_images/image_corners.svg

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 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]