imganiso2D: create an image that visualizes anisotropy

In adimpro: Adaptive Smoothing of Digital Images

create an image that visualizes anisotropy

Description

The function creates an object of class adimpro that visualizes anisotropy information using the HSI color space for main direction of anisotropy (H), maximum eigenvalue^satexp (S) and log(excentricity) (I).

Usage

imganiso2D(x, satexp = 0.25, g=3, rho=0)

Arguments

x	a field of 2D tensors (Dimension c(3,n1,n2)) or an object of class "adimpro".
satexp	exponent for maximum eigenvalue in saturation channel. Determines the contrast in this channel.
g	Bandwidth for anisotropic smoothing gradient estimates, preferably g \ge 3 for images with line type texture and small g \approx 1 for improving edges between homogeneous regions.
rho	Regularization parameter for anisotropic smoothing gradient estimates, preferably \rho = 0 for images with line type texture and large \rho \approx 3*variance for improving edges between homogeneous regions.

Value

an object (image) of class adimpro.

Author(s)

Karsten Tabelow [e-mail] and Joerg Polzehl [e-mail]

References

Polzehl, J. and Tabelow, K. (2007). Adaptive smoothing of digital images, Journal of Statistical Software 19 (1).

See Also

awsaniso,read.image, read.raw, make.image, show.image, clip.image

Examples

## Not run: demo(awsimage)
## Not run: demo(manipulate)

adimpro documentation built on Sept. 8, 2023, 5:53 p.m.