Texture classification through level lines

Author

Hamdan, H.M. ; Larson, L.M.

Author_Institution

Dept. of Math., Louisville Univ., KY, USA

Volume

3

fYear

2002

fDate

24-28 June 2002

Firstpage

937

Abstract

The paper presents a method for texture classification through level lines. Level lines provide a non-redundant and full representation of an image, and they can be regarded as a signature for the image. By using earth mover´s distance (EMD), we can classify texture images based on EMD between their level lines. Our method is a geometric approach for texture classification, which has the advantage of being contrast-, rotation- and scale-invariant.

Keywords

computational complexity; computer vision; content-based retrieval; image classification; image representation; image retrieval; image texture; linear programming; set theory; trees (mathematics); computational complexity; computer vision; content-based image retrieval; content-based retrieval; earth mover´s distance; geometric approach; image representation; image signature; level lines; level set; linear-programming optimization; texture classification; texture image classification; Computer vision; Content based retrieval; Earth; Image retrieval; Image texture analysis; Layout; Level set; Mathematics; Pixel; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1039127

Filename

1039127