Recent developments in the use of the co-occurrence matrix for texture recognition

Author

Walker, R.F. ; Jackway, P.T. ; Long, I.D.

Author_Institution

Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

63

Abstract

We present an overview of several developments in the use of the gray level co-occurrence matrix method for image texture analysis and classification. We first introduce the theory and notation of gray level co-occurrence matrices (GLCM), then we outline several developments including the use of a multi-scale GLCM matrix, the use of an associated discrimination matrix, and finally several adaptive methods for the creation of highly discriminatory features for classification problems

Keywords

adaptive signal processing; feature extraction; genetic algorithms; image classification; image recognition; image texture; matrix algebra; adaptive methods; classification problems; discrimination matrix; discriminatory features creation; genetic algorithm based feature extraction; gray level co-occurrence matrix method; image classification; image texture analysis; multiscale GLCM matrix; texture recognition; Digital signal processing; Equations; Feature extraction; Image analysis; Image texture; Image texture analysis; Probability; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.627968

Filename

627968