Visual information from anisotropic transformations

Author

Boccignone, Giuseppe ; Ferraro, Mario ; Caelli, Terry

Author_Institution

Dipt. di Ing. dell´´Inf. e Ing. Elettrica, Salerno Univ., Italy

fYear

1999

fDate

1999

Firstpage

334

Lastpage

339

Abstract

Loss of information in images undergoing fine-to-coarse image transformations is analyzed by using an approach based on the theory of irreversible transformations. It is shown that entropy variation along scales can be used to characterize basic, low-level information and to gauge essential perceptual components of the image. The method is extended to the case of anisotropic diffusion and an algorithm based on entropy variation is presented that extracts relevant features of the image, showing in particular how to discriminate between smooth, textured and edge-type regions

Keywords

edge detection; entropy; feature extraction; image resolution; image texture; anisotropic diffusion; anisotropic transformations; edge-type regions; entropy variation; fine-to-coarse image transformations; information loss; low-level information; perceptual components; relevant feature extraction; scales; smooth regions; textured regions; theory of irreversible transformations; visual information; Anisotropic magnetoresistance; Coordinate measuring machines; Density measurement; Diffusion processes; Entropy; Equations; Feature extraction; Image representation; Production systems; Variable speed drives;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 1999. Proceedings. International Conference on

Conference_Location

Venice

Print_ISBN

0-7695-0040-4

Type

conf

DOI

10.1109/ICIAP.1999.797617

Filename

797617