Real-time recognition with the entire Brodatz texture database

Author

Picard, Rosalind W. ; Kabir, Tanweer ; Liu, Fang

Author_Institution

MIT Media Lab., Cambridge, MA, USA

fYear

1993

fDate

15-17 Jun 1993

Firstpage

638

Lastpage

639

Abstract

The Brodatz Album has become the de facto standard for evaluating texture algorithms, with hundreds of studies having been applied to small sets of its images. The authors compare two powerful recognition algorithms, principal components analysis and multiscale autoregressive models, by evaluating them on a 999-image database derived from the entire Brodatz Album. The variety of homogeneous and nonhomogeneous images studied is thus nearly an order of magnitude larger than has been compared before, giving one snapshot of the state of the art in real-time texture recognition

Keywords

image texture; real-time systems; stochastic processes; time series; visual databases; Brodatz Album; Brodatz texture database; homogeneous images; image texture; multiscale autoregressive models; nonhomogeneous images; principal components analysis; real-time texture recognition; Humans; Image analysis; Image databases; Image recognition; Layout; Multimedia databases; Pattern recognition; Principal component analysis; Target recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on

Conference_Location

New York, NY

ISSN

1063-6919

Print_ISBN

0-8186-3880-X

Type

conf

DOI

10.1109/CVPR.1993.341050

Filename

341050