A Steerable, Multiscale Singularity Index

Author

Muralidhar, Gautam S. ; Bovik, Alan C. ; Markey, Mia K.

Author_Institution

Univ. of Texas, Austin, TX, USA

Volume

20

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

7

Lastpage

10

Abstract

We propose a new steerable, multiscale ratio index for detecting impulse singularities in signals of arbitrary dimensionality. For example, it responds strongly to curvilinear masses (ridges) in images, but minimally to step discontinuities. The ratio index employs directional derivatives of gaussians, making it naturally steerable and scalable. Experiments on real images demonstrate the efficacy of the index for detecting multiscale curvilinear structures. A software version of the index can be downloaded from: http://live.ece.utexas.edu/research/SingularityIndex/SingularityIndex.zip.

Keywords

Gaussian distribution; signal detection; Gaussian directional derivatives; arbitrary dimensionality; curvilinear masses; http://live.ece.utexas.edu/research/SingularityIndex/SingularityIndex.zip; impulse singularity; multiscale curvilinear structures; multiscale ratio index; multiscale singularity index; signal detection; software version; steerable ratio index; steerable singularity index; Detectors; Equations; Image edge detection; Indexes; NASA; Periodic structures; Rivers; Curvilinear structures; impulses; singularities; singularity detection;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2226027

Filename

6336789