BUILT-IN MATHEMATICA SYMBOL

CornerFilter

CornerFilter[image]
computes a measure for the presence of a corner for each pixel in image and returns the result as an intensity image.

CornerFilter[image, r]
detects corners at a pixel range r.

Details and Options Details and Options

CornerFilter implements a variety of corner detection methods based on gradient computations.
CornerFilter works with arbitrary grayscale and color images.
When applied to multichannel images, CornerFilter finds corner signatures across channels.
CornerFilter[image] is equivalent to CornerFilter[image, 2].
CornerFilter[image, {r₁, r₂}] specifies different radii in vertical and horizontal directions.
CornerFilter takes a Method option that specifies how to compute the corner metric. The default setting is . Available methods include:

	"HarmonicMean"	harmonic mean of eigenvalues method
	"HarrisStephens"	Harris-Stephens corner detection
	{"HarrisStephens",k}	Harris-Stephens method with sensitivity parameter k
	"ShiTomasi"	minimum eigenvalue method

By default, the Harris-Stephens method uses a sensitivity parameter k=0.05.
The parameters of the Gaussian derivatives to be computed can be specified by an option setting . The default setting is .