alphaimage

Computes corresponding alpha image from original, normalized, image. The pixels in the alpha image are estimated values of Holder exponent at these points and they describe the local regularity.

NOTE: In the FracLab graphical interface this function is associated with the falphaimage function and the spotted function.

Syntax

A = alphaimage(x,rmax)
A = alphaimage(...,'Method')
A = alphaimage(...,'Scale')

Description

A = alphaimage(x,rmax) Estimates the Holder "alpha" image, A, of the normalized grayscale input image, x using a specific radius, rmax. The parameter rmax is an integer in (1:5) which defines the largest measure domain.

A = alphaimage(...,'Method') Estimates the Holder "alpha" image, A, using a specific measure type. The supported measure Methods can be choosen from the list below :

A = alphaimage(...,'Scale') Estimates the Holder "alpha" image A using a specific grayscale of the image. The supported Scales can be choosen from the list below :

Examples

See Also

falphaimage, spotted

References

[1] J. Lévy-Véhel, P. Mignot "Multifractal segmentation of images", Fractals, Vol. 2 No. 3, (2004) 379-382.

[2] T. Stojic, I. Reljin, B. Reljin "Adaptation of multifractal analysis to segmentation of microcalcifications in digital mammograms", Physica A: Statistical Mechanics and its Applications, Vol. 367 No. 15, (2006) 494-508.