An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

Author

You, J. ; Cohen, H.A.

Author_Institution

Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

49

Lastpage

52

Abstract

Describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within a rotated and/or scaled image. The algorithm involves a mask `tuning´ process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided

Keywords

feature extraction; image segmentation; image texture; optimisation; search problems; Brodatz textures; feature extraction; guided random search; image segmentation; image texture; mask tuning; multi-orientation; multi-scale data set; orientation independent texture classifier; parameter optimization; resolution independent texture classifier; texture discrimination; two-dimensional linked-list; Computer science; Convolution; Feature extraction; Image resolution; Image segmentation; Performance analysis; Relaxation methods; Rotation measurement; Stochastic processes; Tellurium;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2920-7

Type

conf

DOI

10.1109/ICPR.1992.201925

Filename

201925