Channel interactions in visible pattern analysis

Author

Gopal, Nanda ; Emmoth, Tomas ; Bovik, Alan C.

Author_Institution

Lab. for Vision Syst., Texas Univ., Austin, TX, USA

fYear

1989

Firstpage

1643

Abstract

The efficacy of the 2-D Gabor channel filters for segmenting images based on the division of the image into textures was established previously. In the present work, the authors extend the model for the direct estimation of the emergent spatially localized orientation/frequencies of visible patterns using a variational scheme. The most significant result of this extension is that patterns with space-varying frequency characteristics, arising from, e.g. surface deformation, can still be analyzed and segregated. Moreover, the information extracted can provide a means for developing shape-from-texture algorithms that are optimally localized. The implementation of the filtering scheme is described

Keywords

filtering and prediction theory; pattern recognition; picture processing; two-dimensional digital filters; 2-D Gabor channel filters; channel interactions; filtering; images segmentation; shape-from-texture algorithms; space-varying frequency characteristics; spatially localised frequencies; spatially localised orientation; surface deformation; variational scheme; visible pattern analysis; Filtering; Frequency estimation; Gabor filters; Image coding; Image segmentation; Image texture analysis; Laboratories; Machine vision; Pattern analysis; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266761

Filename

266761